Become a Data Analytics Specialist

Get a thorough grounding in the concepts and skills needed for data analytics, including statistics, financial forecasting, data mining, predictive analytics, and meta-analysis.

Explore the expanding applications for data analytics skills.
Master statistics, the core skill needed in analytics work.
Build skills in financial forecasting and data mining.

Syllabus

Courses under this program:
Course 1: Preparing to Get a Job in Data Analytics
-This course offers a friendly guide to landing a job in the in-demand field of data analytics, including how to upskill, maximize LinkedIn, and build a tailored portfolio.

Course 2: Data Analytics for Students
-Analytics is such a broad topic that it's hard to know where to get started. In this course designed for students, explore how to use data analytics to make informed decisions.

Course 3: Learning Data Analytics: 1 Foundations
-This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more. Are you ready to be an analyst?

Course 4: Learning Data Analytics Part 2: Extending and Applying Core Knowledge
-Learn how to provide quality data sets and accurate visualizations and explore practical skills to get the most from your data.

Course 5: Data Analytics: Dashboards vs. Data Stories
-Learn the basic applications of two common data science and analytics tools: dashboards and data stories.

Course 6: Data Analytics: Graph Analytics
-Learn the fundamentals of graph analytics—an up-and-coming approach to tackling data science projects—in this concise course.

Course 7: Statistics Foundations 1: The Basics
-Learn to understand your data using basics of statistics, such as defining the middle, mean, and median of your data set; measuring the standard deviation; and finding outliers.

Course 8: Statistics Foundations 2: Probability
-Learn to understand your data in beginner-friendly lessons, using probability. Topics include permutations, percentiles, how to use probability trees, and much more.

Course 9: Excel: Economic Analysis and Data Analytics
-Find out how to use big data to perform regression analysis for economic forecasting in Microsoft Excel.

Course 10: Excel and ChatGPT: Data Analysis Power Tips
-This beginner-friendly course helps you leverage Excel and ChatGPT together to work more efficiently and make smarter, data-driven decisions.

Course 11: Certified Analytics Professional (CAP) Cert Prep
-Learn what it takes to become a Certified Analytics Professional (CAP). Explore the core data science topics covered in the CAP exam.

Taught by

John David Ariansen, MBA, Robin Hunt, Robin Hunt, Sara Anstey, Heather E. Johnson, Eddie Davila, Eddie Davila, Michael M., Jungwoo Ryoo and Jungwoo Ryoo