Data Analytics Course
Learn to Use Excel, SQL, Tableau, and Python
Prepare for a career in the data analytics field! This online data analytics training provides an immersive learning experience with training on essential tools for the analysis process, including Excel, SQL, Tableau, and Python. Throughout the course, you will learn how to work with structured data, create visualizations from your findings, and build predictive models to help solve problems.
You 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 a data or business analyst or even pursue more training, such as sitting for certification exams in Excel or Tableau.
Data Analytics FAQs
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What are data analytics?
Data 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.
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Does this course prepare you for a certification?
No.
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How long does it take to complete this course?
After you register, you will receive nine months to complete the course. The time allotted for completion has been calculated based on the number of course hours.
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Do I need any prior experience to take this course?
Basic computer proficiency is required. No prior experience in analytics or programming is necessary.
What you will learn
- Understand major data analytics principles, from data collection and cleansing to analysis and reporting
- Learn 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
- Leverage standard data analytics tools like Python and Tableau
- Learn to build, maintain, and optimize machine learning models to streamline your analytics process through the automation of time-consuming tasks
- Review advanced data analysis methods like regression analysis, forecasting, and prescriptive analysis to interpret trends within datasets
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