{"title":"Data Science","description":null,"products":[{"product_id":"data-analytics-and-visualization-boot-camp","title":"Data Analytics and Visualization Boot Camp","description":"\u003cp class=\"course-intro\"\u003eObtain the perfect mix of real-world scenarios, tools, techniques, and examples, along with hands-on lab experience and an applicable course project. You will also prepare for the Microsoft Certified: Power BI Data Analyst Associate certification exam (PL-300) to help you stand out to employers and demonstrate your new skills and knowledge.\u003c\/p\u003e\u003cul class=\"course-facts\"\u003e\n\u003cli\u003e223 course hrs\u003c\/li\u003e\n\u003cli\u003eCode GES3087\u003c\/li\u003e\n\u003cli\u003eOpen enrollment\u003c\/li\u003e\n\u003cli\u003eSelf paced\u003c\/li\u003e\n\u003c\/ul\u003e\u003cnav class=\"course-nav\"\u003e\u003ca href=\"#overview\"\u003eOverview\u003c\/a\u003e\u003ca href=\"#objective\"\u003eObjective\u003c\/a\u003e\u003ca href=\"#outline\"\u003eOutline\u003c\/a\u003e\u003ca href=\"#requirements\"\u003eRequirements\u003c\/a\u003e\u003ca href=\"#prerequisites\"\u003ePrerequisites\u003c\/a\u003e\u003ca href=\"#instructor\"\u003eInstructor\u003c\/a\u003e\u003ca href=\"#faqs\"\u003eFAQs\u003c\/a\u003e\u003c\/nav\u003e\u003ch3 id=\"overview\"\u003eOverview\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003eThe Data Analytics and Visualization Boot Camp is an intensive training program designed to shape the future of data analysis experts nationwide. Data analytics has become a vital competent to help businesses gain insights, develop strategies, and inform other essential business decisions. The right data analytics training and certification will allow you to stand out to employers and further your career in this in-demand and lucrative role.\u003c\/p\u003e\n\u003cp\u003eThis boot camp was developed in collaboration with industry experts to ensure you meet and exceed industry demands and challenges. You will gain immersive data science training that perfectly blends theoretical knowledge and practical exercises. Through your boot camp participation will come to understand essential topics such as data analysis and visualization using tools like Excel and Power BI. You will also achieve proficiency in Python basics, SQL querying, and Microsoft Fabrics, preparing you for entry-level jobs such as Power BI Analysts and Data Analysts, as well as other data analytics roles.\u003c\/p\u003e\n\u003cp\u003eThroughout this data science, data analytics, and data visualization training boot camp, you will engage in various projects that simulate real-world challenges and scenarios, equipping you with the necessary skills to tackle similar situations you may encounter in your future career. You will have access to online labs to gain practical experience navigating data analysis tools, technologies, and scenarios, which is crucial for building confidence and proficiency. The final project will serve as tangible evidence of the knowledge and competencies acquired during the boot camp, demonstrating practical application to prospective employers.\u003c\/p\u003e\n\u003cp\u003eThis boot camp also includes the material required to prepare for the Microsoft Certified: Power BI Data Analyst Associate certification exam (exam code: PL-300), and you will have two weeks of dedicated study time.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"objective\"\u003eObjective\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eGain proficiency in the data analysis process, from data gathering to sharing insights, utilizing tools like Excel and Python for data cleaning, transformation, and analysis\u003c\/li\u003e \u003cli\u003eDevelop interactive dashboards and reports using Excel and Power BI, enabling data-driven decision-making based on quantitative insight\u003c\/li\u003e \u003cli\u003eAcquire essential skills in Python programming, including variables, data types, operators, and leveraging built-in modules and libraries for extended functionality\u003c\/li\u003e \u003cli\u003eLearn SQL querying techniques for efficient data retrieval, modification, and structured data organization to maintain integrity\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eHow you will benefit\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eDiscover ways to gather and collect data from various sources, including databases\u003c\/li\u003e \u003cli\u003eClean and preprocess raw data to ensure accuracy, consistency, and suitability for analysis\u003c\/li\u003e \u003cli\u003eUnderstand how to analyze data using statistical techniques\u003c\/li\u003e \u003cli\u003eCreate visually appealing and informative charts, graphs, and dashboards to effectively communicate findings and insights to stakeholders\u003c\/li\u003e \u003cli\u003eLeverage your PL-300 certification to demonstrate your hands-on experience in Power Platform solutions, helping you stand out to employers\u003c\/li\u003e \u003cli\u003ePosition yourself to earn a higher salary compared to non-certified individuals, with entry-level positions for Power BI analysts starting at $82,884 annually\u003c\/li\u003e \u003cli\u003ePrepare for two primary entry-level job roles in the data analytics and visualization sector: Power BI analyst and Data analyst\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003ch3 id=\"outline\"\u003eOutline\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\u003col style=\"list-style-type: upper-roman;\"\u003e \u003cli\u003eIntroduction to Data Science and Analytics\u003c\/li\u003e \u003cli\u003eAnalyzing and Visualizing Data with Excel\u003c\/li\u003e \u003cli\u003ePython basics\u003c\/li\u003e \u003cli\u003eAnalyzing and Visualizing Data with Power BI (PL-300)\u003c\/li\u003e \u003cli\u003eQuerying Data with SQL\u003c\/li\u003e \u003cli\u003eMicrosoft Fabrics\u003c\/li\u003e \u003cli\u003eExam preparation for Power BI (PL-300)\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/div\u003e\u003ch3 id=\"requirements\"\u003eRequirements\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eRequirements:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eHardware Requirements:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eThis course can be taken on either a PC or Mac. Chromebooks are not compatible.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eSoftware Requirements:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003ePC: Windows 10 or later.\u003c\/li\u003e \u003cli\u003eMac: macOS 12 or later.\u003c\/li\u003e \u003cli\u003eBrowser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.\u003c\/li\u003e \u003cli\u003e Microsoft Word Online \u003c\/li\u003e \u003cli\u003e Adobe Acrobat Reader \u003c\/li\u003e \u003cli\u003eSoftware must be installed and fully operational before the course begins.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eOther:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eEmail capabilities and access to a personal email account.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eInstructional Material Requirements:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe instructional materials required for this course are included in enrollment and will be available online.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"prerequisites\"\u003ePrerequisites\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eStudents should possess a fundamental understanding of basic computer operations, such as file management (ability to create, rename, move, and delete files and folders), software installation (proficiency in installing and uninstalling software is essential, this includes understanding the process of downloading software, running installation wizards, and managing software updates), and system navigation (ability to navigate the operating system interface with ease)\u003c\/p\u003e\n\u003cp\u003eTo successfully complete the boot camp program, students are expected to dedicate a minimum of 10 hours per week. This time commitment includes activities such as reading course materials, reviewing video lectures, and conducting additional research as necessary.\u003c\/p\u003e You've got questions.\u003cbr\u003e We're here to help.\u003c\/div\u003e\u003ch3 id=\"instructor\"\u003eInstructor\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eKhurram Pirzada\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eKhurram is a Data Scientist and the Main Instructor for the Data Analytics and Visualization boot camp. He brings a wealth of experience and expertise to the classroom. With a background in computer science and a Ph.D. in the field, he is well-equipped to teach and guide students in data science and AI\/ML.\u003c\/p\u003e\n\u003cp\u003eHis work experience includes serving as a Senior Data Scientist at WG Consultancy, where he worked with a European energy producer to leverage AI and Big Data to optimize complex systems and adapt to market dynamics. Additionally, his time at the Land Transportation Authority in Singapore allowed him to contribute to a government initiative to implement a unified transportation portal, where he played a key role in gathering and analyzing requirements and managing platform selection.\u003c\/p\u003e\n\u003cp\u003eHe also worked as a Data Scientist at Telefonica Deutschland GmbH \u0026amp; OGH, a telecom giant, where he developed mathematical models and optimization techniques to address network infrastructure competition and detect financial leakages and fraud. Throughout his career, he has honed his skills in SQL, Visual Studio, Power BI (DAX), predictive modeling, data and decision analytics, and math and statistics.\u003c\/p\u003e\n\u003cp\u003eHis educational background includes a Ph.D. in Computer Science from the University of South Africa, an MS in Computer Sciences from Universität des Saarlandes in Germany, and a BS in Computer Science from The National College in Pakistan. These qualifications and his professional accomplishments contribute to his ability to teach and guide students in data science and analytics effectively.\u003c\/p\u003e\n\u003cp\u003eHe is passionate about sharing his knowledge and helping students succeed in becoming proficient data scientists. He looks forward to engaging with students in the classroom, conducting webinars on career paths, and preparing engaging lessons and projects for the Data Science\/AIML boot camp.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"faqs\"\u003eFAQs\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is the average salary in data analytics? \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAccording to data from LightCast, the median salary of a data analyst is $81,800 annually. Power BI analysts earn $82,884 annually.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is the average salary of a data scientist? \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAccording to data from LightCast, the median salary of a data scientist is $108,014 annually.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is data science? \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAWS reports that data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat are data analytics? \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAccording to AWS, while the terms may be used interchangeably, data analytics is a subset of data science. Data science is an umbrella term for all aspects of data processing—from the collection to modeling to insights. On the other hand, data analytics is mainly concerned with statistics, mathematics, and statistical analysis. It focuses on only data analysis, while data science is related to the bigger picture around organizational data. For example, a data analyst makes sense out of existing data, whereas a data scientist creates new methods and tools to process data for use by analysts.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is the job outlook for data analytics and data science?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAccording to the U.S. Bureau of Labor Statistics, data scientists are projected to grow 35% (much faster than average) by 2032. Additionally, recent Lightcast data shows 261,000 job postings for data scientists and 22,597 Job postings for data analysts.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eDoes this course prepare you for a certification?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eYes, this boot camp will prepare you for the Microsoft PL-300 (Power BI Data Analyst).\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhen can I start this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis course is open enrollment, so you can register and start the course whenever you are ready. Access to your course can take 24-48 business hours.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eHow long does it take to complete this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAfter you register, you will receive 6 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat if I don't have enough time to complete the course within the time frame provided?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact the student advising team to see what options you may have available to work out a suitable completion date. Please note that an extension fee may be charged.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat kind of support will I receive?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAs part of your course, you will have access to 10 30-minute online coaching sessions with your instructor. Additionally, the instructor will be available by email to answer any questions and provide feedback on your performance. Occasionally, your course may be supported by a team of industry experts. You will also receive support from the student advising team.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat happens when I complete the course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eUpon successfully passing the final exam, you will be awarded a certificate of completion from the school or organization that you registered through.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAm I guaranteed a job?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eed2go courses will help you gain the skills you need to obtain an entry-level position in most cases. However, you should always research the job market in your area before enrolling.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eCan I get financial assistance?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eed2go courses are non-credit, so they do not qualify for federal aid, FAFSA, and Pell Grant. In some states, vocational rehab or workforce development boards may provide funding to take our courses. Additionally, you may qualify for financial assistance if you meet certain requirements. Learn more about financial assistance. \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eHow can I get more information about this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIf you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the \"Contact Us.\"\u003c\/p\u003e You've got questions.\u003cbr\u003e We're here to help.\u003c\/div\u003e","brand":"Hope Training Academy","offers":[{"title":"Default Title","offer_id":47318315303100,"sku":"_GES3087","price":4499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0742\/1391\/6860\/files\/GES3087.jpg?v=1787598588"},{"product_id":"data-analytics-course","title":"Data Analytics Course","description":"\u003cp class=\"course-intro\"\u003eThis comprehensive training course covers Excel, Python, SQL, Tableau, and machine learning. It is designed for beginners or professionals looking to expand their skills for roles in data and business analytics. The curriculum walks you through the process of organizing data, as well as foundational statistics, database querying, automation, and predictive modeling.\u003c\/p\u003e\u003cul class=\"course-facts\"\u003e\n\u003cli\u003e240 course hrs\u003c\/li\u003e\n\u003cli\u003eCode GES3128\u003c\/li\u003e\n\u003cli\u003eOpen enrollment\u003c\/li\u003e\n\u003cli\u003eSelf paced\u003c\/li\u003e\n\u003c\/ul\u003e\u003cnav class=\"course-nav\"\u003e\u003ca href=\"#overview\"\u003eOverview\u003c\/a\u003e\u003ca href=\"#objective\"\u003eObjective\u003c\/a\u003e\u003ca href=\"#outline\"\u003eOutline\u003c\/a\u003e\u003ca href=\"#requirements\"\u003eRequirements\u003c\/a\u003e\u003ca href=\"#prerequisites\"\u003ePrerequisites\u003c\/a\u003e\u003ca href=\"#instructor\"\u003eInstructor\u003c\/a\u003e\u003ca href=\"#faqs\"\u003eFAQs\u003c\/a\u003e\u003c\/nav\u003e\u003ch3 id=\"overview\"\u003eOverview\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003eWith businesses relying on data to drive their decision-making, the need for professionals with analytics skills only continues to grow. This data analytics course provides an immersive learning experience with training on essential tools for the analysis process, including Excel, SQL, Tableau, and Python. Throughout your data analytics training, you will learn how to work with structured data, create visualizations from your findings, and build predictive models to help solve problems.\u003c\/p\u003e\n\u003cp\u003eYou will leave this data and business analytics course with portfolio-ready projects that demonstrate your real-world abilities. The course exercises and capstone project provide experience that translates directly to entry-level roles in data and business analytics. Upon completion, you will be prepared to pursue careers as data or business analyst or even pursue more training, such as sitting for certification exams in Excel or Tableau.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"objective\"\u003eObjective\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eUnderstand major data analytics principles, from data collection and cleansing to analysis and reporting\u003c\/li\u003e \u003cli\u003eLearn to use popular data analytics tools like Microsoft Excel and SQL for simplified database management, with instruction on SQL data management and advanced Excel functions like Pivot Tables and macros\u003c\/li\u003e \u003cli\u003eLeverage standard data analytics tools like Python and Tableau\u003c\/li\u003e \u003cli\u003eLearn to build, maintain and optimize machine learning models to streamline your analytics process through the automation of time-consuming tasks\u003c\/li\u003e \u003cli\u003eReview advanced data analysis methods like regression analysis, forecasting, and prescriptive analysis to interpret trends within datasets\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eHow you will benefit\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eWalk away with a solid understanding of the data analytics process from start to finish\u003c\/li\u003e \u003cli\u003eLearn how to find, sort, and organize data using several industry-standard tools as well as optimize workflows when handling larger datasets\u003c\/li\u003e \u003cli\u003ePractice various kinds of analytics and become familiar with more advanced concepts like automating tasks through machine learning models\u003c\/li\u003e \u003cli\u003eBecome more astute problem solvers within the data analytics field and gain a real-world approach that prepares you for the field\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003ch3 id=\"outline\"\u003eOutline\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\u003col style=\"list-style-type: upper-roman;\"\u003e \u003cli\u003eExcel for Data Analytics\u003c\/li\u003e \u003cli\u003eData Analytics Foundations\u003c\/li\u003e \u003cli\u003eSQL with AI Course\u003c\/li\u003e \u003cli\u003ePython for Data Science Course\u003c\/li\u003e \u003cli\u003eMachine Learning \u0026amp; AI with Python Course\u003c\/li\u003e \u003cli\u003ePython for Automation\u003c\/li\u003e \u003cli\u003ePython Data Visualization \u0026amp; Interactive Dashboards\u003c\/li\u003e \u003cli\u003eTableau Bootcamp\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/div\u003e\u003ch3 id=\"requirements\"\u003eRequirements\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eRequirements:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eHardware Requirements:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eThis course can be taken on either a PC or Mac. Chromebooks are not compatible.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eSoftware Requirements:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003ePC: Windows 10 or later.\u003c\/li\u003e \u003cli\u003eMac: macOS 12 or later.\u003c\/li\u003e \u003cli\u003eBrowser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.\u003c\/li\u003e \u003cli\u003e Microsoft Word Online \u003c\/li\u003e \u003cli\u003e Adobe Acrobat Reader \u003c\/li\u003e \u003cli\u003e Google Colab \u003c\/li\u003e \u003cli\u003e Microsoft Excel - Free trial available \u003c\/li\u003e \u003cli\u003eDBeaver\u003c\/li\u003e \u003cli\u003e Tableau Public \u003c\/li\u003e \u003cli\u003eSoftware must be installed and fully operational before the course begins.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eOther:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eEmail capabilities and access to a personal email account.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eInstructional Material Requirements:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe instructional materials required for this course are included in enrollment and will be available online.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"prerequisites\"\u003ePrerequisites\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eBasic computer proficiency is required. No prior experience in analytics or programming is necessary.\u003c\/p\u003e You've got questions.\u003cbr\u003e We're here to help.\u003c\/div\u003e\u003ch3 id=\"instructor\"\u003eInstructor\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eBrian McClain\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eBrian McClain is a senior instructor and program director at Noble Desktop, where he teaches Python, data science, machine learning, and AI courses. His expertise covers several programming languages (including Python, R, and SwiftUI) and advanced frameworks (SQL, Flask, and OpenAI technologies). Brian holds certifications as a New York State Instructor of Computer Applications and a Licensed Private Career School Teacher. He earned his Bachelor's degree in Political Science from Duke University.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eColin Jaffe\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eColin Jaffe is a programmer and curriculum developer at Noble Desktop. He has taught coding and software development at Noble Desktop as well as various other educational institutions. Colin's teaching focuses on algorithmic thinking, application logic, and practical frameworks such as React and Python. His professional background includes front-end development and data analytics, and he brings creativity to technical instruction, shaped by his experience as a self-taught programmer.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDan Rodney\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDan Rodney is a coder, designer, and instructor with over 25 years of experience creating coursework and leading innovative training initiatives at Noble Desktop. He's taught employees from major corporations as well as individuals wanting to break into tech and design. Dan has been at the forefront of integrating AI into design and business workflows, spearheading Noble Desktop's latest AI course offerings.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"faqs\"\u003eFAQs\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat are data analytics?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eData analytics is the process of studying data to find useful information and patterns. People who work in this field are called data analysts. They help businesses make better decisions by collecting data, cleaning it, analyzing it, and creating charts or reports to explain what they find. They often use tools like Excel, SQL, Python, and Tableau.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is the average salary in data analytics? \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn 2025, data analysts in the U.S. earn an average salary of about $75,000 per year. Those just starting out typically earn between $55,000 and $70,000, while analysts with a few years of experience earn around $70,000 to $90,000. Senior data analysts can earn $90,000 to $115,000 or more, depending on their skills, experience, and location.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eDoes this course prepare you for a certification?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNo.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eHow long does it take to complete this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAfter you register, you will receive 9 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhen can I start this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis course is open enrollment, so you can register and start the course whenever you are ready. Access to your course can take 24-48 business hours.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat if I don't have enough time to complete the course within the time frame provided?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact the student advising team to see what options you may have available to work out a suitable completion date. Please note that an extension fee may be charged.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat kind of support will I receive?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eOur courses are designed to accommodate various learning preferences. Depending on the course structure, you may get different forms of support. Self-paced courses are designed to be user-friendly and independent, minimizing the need for external support. In courses with instructors, our direct platform support feature includes opportunities for questions, discussions, and remediation, with email and phone support available for select courses. Our student advising team is available to guide you on program requirements and administrative requests, but they do not provide assistance with course content. Our goal is to provide you with the necessary support for success, whether it's through self-paced exploration, direct communication, or guidance from our advising team.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat happens when I complete the course? \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eUpon successfully passing the final exam, you will be awarded a certificate of completion from the school or organization that you registered through.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAm I guaranteed a job?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eed2go courses will help you gain the skills you need to obtain an entry-level position in most cases. However, you should always research the job market in your area before enrolling.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eCan I get financial assistance?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eed2go courses are non-credit, so they do not qualify for federal aid, FAFSA, and Pell Grant. In some states, vocational rehab or workforce development boards may provide funding to take our courses. Additionally, you may qualify for financial assistance if you meet certain requirements. Learn more about financial assistance. \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eHow can I get more information about this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIf you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the \"Contact Us.\"\u003c\/p\u003e Related Courses Data Science \u0026amp; Artificial Intelligence Course \u003cbr\u003e CAREER TRAINING PROGRAM $4495.00 USD https:\/\/careertraining.ed2go.com\/1199seiutufMA\/training-programs\/data-science-and-artificial-intelligence-course\/ LEARN MORE \u003ci class=\"fa fa-calendar ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e9 Months \u003ci class=\"fa fa-clock-o ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e260 Course Hours Python for Machine Learning \u0026amp; Data Science Course \u003cbr\u003e CAREER TRAINING PROGRAM $2095.00 USD https:\/\/careertraining.ed2go.com\/1199seiutufMA\/training-programs\/python-for-machine-learning-and-data-science-course\/ LEARN MORE \u003ci class=\"fa fa-calendar ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e9 Months \u003ci class=\"fa fa-clock-o ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e120 Course Hours You've got questions.\u003cbr\u003e We're here to help.\u003c\/div\u003e","brand":"Hope Training Academy","offers":[{"title":"Default Title","offer_id":47318315368636,"sku":"_GES3128","price":4599.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0742\/1391\/6860\/files\/GES3128.jpg?v=1787598591"},{"product_id":"python-for-machine-learning-and-data-science-course","title":"Python for Machine Learning \u0026 Data Science Course","description":"\u003cp class=\"course-intro\"\u003eThis comprehensive certificate combines Python, data science, and machine learning into one course. You begin with Python fundamentals and gradually build toward advanced skills like predictive modeling and neural networks. Through hands-on projects using tools like Pandas, NumPy, Matplotlib, and TensorFlow, you will gain valuable experience you can use in roles related to data analysis, machine learning, or Python development.\u003c\/p\u003e\u003cul class=\"course-facts\"\u003e\n\u003cli\u003e120 course hrs\u003c\/li\u003e\n\u003cli\u003eCode GES3129\u003c\/li\u003e\n\u003cli\u003eOpen enrollment\u003c\/li\u003e\n\u003cli\u003eSelf paced\u003c\/li\u003e\n\u003c\/ul\u003e\u003cnav class=\"course-nav\"\u003e\u003ca href=\"#overview\"\u003eOverview\u003c\/a\u003e\u003ca href=\"#objective\"\u003eObjective\u003c\/a\u003e\u003ca href=\"#outline\"\u003eOutline\u003c\/a\u003e\u003ca href=\"#requirements\"\u003eRequirements\u003c\/a\u003e\u003ca href=\"#prerequisites\"\u003ePrerequisites\u003c\/a\u003e\u003ca href=\"#instructor\"\u003eInstructor\u003c\/a\u003e\u003ca href=\"#faqs\"\u003eFAQs\u003c\/a\u003e\u003c\/nav\u003e\u003ch3 id=\"overview\"\u003eOverview\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003eData scientists and software developers are growing at a rate significantly faster than the average, according to the U.S. Bureau of Labor Statistics, with an average of 200,000 combined annual job openings projected through 2033. Paired with six-figure salaries, now is a great time to join this in-demand industry.\u003c\/p\u003e\n\u003cp\u003eThis Python course is designed for those who want to learn how to work with data from the ground up with no prior coding experience. The course starts by covering the basics of Python programming before moving into more core data science skills like statistical analysis and regression modeling. From there, you will gain hands-on experience building classification models, tuning machine learning algorithms, and even training neural networks using Keras and TensorFlow.\u003c\/p\u003e\n\u003cp\u003eDuring this Python training program, you will complete practical projects that mirror real-world data workflows, such as employee retention prediction, car pricing models, and image recognition using the MNIST dataset. These projects help reinforce skills and serve as portfolio pieces for job applications. The data science and machine learning training curriculum is structured to help you build confidence in using Python for data analysis and machine learning, even if you have no technical background.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"objective\"\u003eObjective\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003ePython fundamentals such as variables, data types, functions, loops, and control flow\u003c\/li\u003e \u003cli\u003eCreate and manipulate DataFrames using Pandas and perform exploratory data analysis (EDA)\u003c\/li\u003e \u003cli\u003ePerform linear regression and evaluate models using a train-test split and residuals\u003c\/li\u003e \u003cli\u003eBuild and tune k-nearest neighbors models and explore feature scaling and distance metrics\u003c\/li\u003e \u003cli\u003eTrain ensemble models like random forests using scikit-learn and practice neural network design in TensorFlow\u003c\/li\u003e \u003cli\u003eSubmit predictions to real-world datasets using Kaggle workflows and build professional dashboards\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eHow you will benefit\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eAdvanced your skill set with beginner-friendly Python and data science training, with no experience required\u003c\/li\u003e \u003cli\u003eReview lessons focusing on practical skills that employers are looking for when hiring data and machine learning experts\u003c\/li\u003e \u003cli\u003eDevelop in-demand skills using tools such as Pandas, NumPy, Matplotlib, scikit-learn, and TensorFlow\u003c\/li\u003e \u003cli\u003eApply your newly acquired skills across diverse professional contexts and data-related roles\u003c\/li\u003e \u003cli\u003eUse your completed practical projects to boost your professional portfolio and stand out in the job market\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003ch3 id=\"outline\"\u003eOutline\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\u003col style=\"list-style-type: upper-roman;\"\u003e \u003cli\u003ePython for Data Science Fundamentals \u003col style=\"list-style-type: upper-alpha;\"\u003e \u003cli\u003eBoolean Conditions\u003c\/li\u003e \u003cli\u003eDatetime and Random\u003c\/li\u003e \u003cli\u003eLoops and Strings\u003c\/li\u003e \u003cli\u003eDictionaries\u003c\/li\u003e \u003cli\u003eNumPy\u003c\/li\u003e \u003cli\u003ePandas DataFrames\u003c\/li\u003e \u003cli\u003eBar Charts with Matplotlib\u003c\/li\u003e \u003cli\u003eLine \u0026amp; Scatter Charts with Matplotlib\u003c\/li\u003e \u003cli\u003ePivot Population Data \u0026amp; Charts\u003c\/li\u003e \u003cli\u003eBasic Regression Analysis\u003c\/li\u003e \u003cli\u003eIntroduction to Python and Colab\/Jupyter Notebook setup for machine learning projects\u003c\/li\u003e \u003cli\u003eLoad and explore car sales data using Pandas DataFrames\u003c\/li\u003e \u003cli\u003ePerform data slicing and initial statistical analysis: median, mode, standard deviation, variance, and percentiles\u003c\/li\u003e \u003cli\u003eVisualize uniform and normal distributions with Matplotlib\u003c\/li\u003e \u003cli\u003eLearn linear regression by modeling attendance vs. concessions\u003c\/li\u003e \u003cli\u003eBuild prediction functions and apply user inputs\u003c\/li\u003e \u003cli\u003eExtend models with polynomial regressions\u003c\/li\u003e \u003c\/ol\u003e \u003c\/li\u003e \u003cli\u003eSupervised Learning Essentials \u003col style=\"list-style-type: upper-alpha;\"\u003e \u003cli\u003eK-Nearest Neighbors\u003c\/li\u003e \u003cli\u003eTitanic Survival Prediction\u003c\/li\u003e \u003cli\u003eComputer Vision: Convolutional Neural Networks (CNN) - Part 1: Grayscale Images\u003c\/li\u003e \u003cli\u003eComputer Vision: Convolutional Neural Networks (CNN) - Part 2: RGB (Color) Images\u003c\/li\u003e \u003cli\u003eSentiment Analysis\u003c\/li\u003e \u003c\/ol\u003e \u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/div\u003e\u003ch3 id=\"requirements\"\u003eRequirements\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eRequirements:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eHardware Requirements:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eThis course can be taken on either a PC or Mac. Chromebooks are not compatible.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eSoftware Requirements:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003ePC: Windows 10 or later.\u003c\/li\u003e \u003cli\u003eMac: macOS 12 or later.\u003c\/li\u003e \u003cli\u003eBrowser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.\u003c\/li\u003e \u003cli\u003e Microsoft Word Online \u003c\/li\u003e \u003cli\u003e Adobe Acrobat Reader \u003c\/li\u003e \u003cli\u003e Google Colab \u003c\/li\u003e \u003cli\u003eSoftware must be installed and fully operational before the course begins.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eOther:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eEmail capabilities and access to a personal email account.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eInstructional Material Requirements:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe instructional materials required for this course are included in enrollment and will be available online.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"prerequisites\"\u003ePrerequisites\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis course is for beginners. Students must be comfortable using a computer. No other prior knowledge is required.\u003c\/p\u003e You've got questions.\u003cbr\u003e We're here to help.\u003c\/div\u003e\u003ch3 id=\"instructor\"\u003eInstructor\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eBrian McClain\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eBrian McClain is a senior instructor and program director at Noble Desktop, where he teaches Python, data science, machine learning, and AI courses. His expertise covers several programming languages (including Python, R, and SwiftUI) and advanced frameworks (SQL, Flask, and OpenAI technologies). Brian holds certifications as a New York State Instructor of Computer Applications and a Licensed Private Career School Teacher. He earned his Bachelor's degree in Political Science from Duke University.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eColin Jaffe\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eColin Jaffe is a programmer and curriculum developer at Noble Desktop. He has taught coding and software development at Noble Desktop as well as various other educational institutions. Colin's teaching focuses on algorithmic thinking, application logic, and practical frameworks such as React and Python. His professional background includes front-end development and data analytics, and he brings creativity to technical instruction, shaped by his experience as a self-taught programmer.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"faqs\"\u003eFAQs\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is a data scientist?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eA data scientist is a professional who uses data to solve problems and help organizations make better decisions. They collect, clean, and analyze large sets of data, often using tools like Python, R, SQL, and machine learning algorithms. Their work helps companies understand trends, predict future outcomes, and improve operations.\u003c\/p\u003e\n\u003cp\u003eData scientists often work in industries like technology, finance, healthcare, and retail. They need strong skills in statistics, programming, and communication to turn complex data into clear insights.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is the average salary of a data scientist?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn 2025, the average salary for a data scientist in the United States is between $115,000 and \\125,000 per year. Entry-level data scientists typically earn around $80,000 to $95,000, while those with a few years of experience make $105,000 to $130,000. Senior data scientists can earn $140,000 to $175,000 or more, especially in tech-focused cities.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is the average salary of a Python developer?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn 2025, Python developers in the U.S. earn an average salary ranging from $82,000 to $117,000 per year. Beginners usually make $56,000 to $80,000, mid-level developers earn about $109,000 to $117,000, and senior Python developers can earn $130,000 or more, depending on their skills and the industry they work in.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is a Python developer?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eA Python developer is a programmer who writes software using the Python programming language. They may work in areas like web development, data analysis, automation, or artificial intelligence. Python developers often build websites, create tools for analyzing data, or develop machine learning models to solve complex problems.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eDoes this course prepare you for a certification?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNo.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eHow long does it take to complete this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAfter you register, you will receive 9 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhen can I start this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis course is open enrollment, so you can register and start the course whenever you are ready. Access to your course can take 24-48 business hours.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat if I don't have enough time to complete the course within the time frame provided?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact the student advising team to see what options you may have available to work out a suitable completion date. Please note that an extension fee may be charged.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat kind of support will I receive?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eOur courses are designed to accommodate various learning preferences. Depending on the course structure, you may get different forms of support. Self-paced courses are designed to be user-friendly and independent, minimizing the need for external support. In courses with instructors, our direct platform support feature includes opportunities for questions, discussions, and remediation, with email and phone support available for select courses. Our student advising team is available to guide you on program requirements and administrative requests, but they do not provide assistance with course content. Our goal is to provide you with the necessary support for success, whether it's through self-paced exploration, direct communication, or guidance from our advising team.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat happens when I complete the course? \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eUpon successfully passing the final exam, you will be awarded a certificate of completion from the school or organization that you registered through.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAm I guaranteed a job?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eed2go courses will help you gain the skills you need to obtain an entry-level position in most cases. However, you should always research the job market in your area before enrolling.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eCan I get financial assistance?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eed2go courses are non-credit, so they do not qualify for federal aid, FAFSA, and Pell Grant. In some states, vocational rehab or workforce development boards may provide funding to take our courses. Additionally, you may qualify for financial assistance if you meet certain requirements. Learn more about financial assistance. \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eHow can I get more information about this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIf you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the \"Contact Us.\"\u003c\/p\u003e Related Courses Data Analytics Course \u003cbr\u003e CAREER TRAINING PROGRAM $4495.00 USD https:\/\/careertraining.ed2go.com\/1199seiutufMA\/training-programs\/data-analytics-course\/ LEARN MORE \u003ci class=\"fa fa-calendar ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e9 Months \u003ci class=\"fa fa-clock-o ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e240 Course Hours Data Science \u0026amp; Artificial Intelligence Course \u003cbr\u003e CAREER TRAINING PROGRAM $4495.00 USD https:\/\/careertraining.ed2go.com\/1199seiutufMA\/training-programs\/data-science-and-artificial-intelligence-course\/ LEARN MORE \u003ci class=\"fa fa-calendar ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e9 Months \u003ci class=\"fa fa-clock-o ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e260 Course Hours You've got questions.\u003cbr\u003e We're here to help.\u003c\/div\u003e","brand":"Hope Training Academy","offers":[{"title":"Default Title","offer_id":47318320513212,"sku":"_GES3129","price":2099.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0742\/1391\/6860\/files\/GES3129.jpg?v=1787598735"},{"product_id":"artificial-intelligence-and-machine-learning-suite","title":"Artificial Intelligence and Machine Learning Suite","description":"\u003cp\u003eLearn foundational artificial intelligence (AI) and machine learning knowledge in this introductory course. 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