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Free Data Analytics Courses on LinkedIn Learning
- Team answersQ
- Updated on
- LinkedIn Learning
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Try these free data analytics courses from LinkedIn Learning to become a professional data analyst.
Data analysts examine information using data analysis tools and help their teams develop insights and business strategies.
You’ll need skills in math, statistics, communications, and working with tools designed to do data analytics and data visualization.
Explore this high-demand career.
Top in-demand skills: Data analysis, analytics, visualization; Microsoft Excel, SQL, BI, Tableau
1. Learning Data Analytics: 1 Foundations
Instructor: Robin Hunt
Level: Beginner
Duration: 3.5 hours
This course covers foundational data analysis skills such as thinking like an analyst, gathering useful data, SQL queries, data cleaning, and more.
2. Data Fluency: Exploring and Describing Data
Instructor: Barton Poulson
Level: Beginner
Duration: 4.5 hours
Learn how anyone, in any industry, can speak the language of data analysis. Find out how to prepare data, explore it visually, and describe it using statistical methods.
3. Excel Statistics Essential Training: 1
Instructor: Joseph Schmuller
Level: General
Duration: 13.5 hours
Learn statistics. Dr. Joseph Schmuller uses Microsoft Excel to teach the fundamentals of descriptive and inferential statistics.
4. Learning Excel: Data Analysis
Instructor: Curt Frye
Level: Beginner
Duration: 2.5 hours
Unlock the power of your organization’s data. Learn how to perform data analysis in Microsoft Excel.
5. Learning Data Visualization
Instructor: Bill Shander
Level: Intermediate
Duration: 4 hours
Communicate complex ideas quickly and thoroughly with data visualization. Turn information into artwork and intrigue your audience.
6. Power BI Essential Training
Instructor: Gini von Courter
Level: General
Duration: 3.5 hours
Get started with Power BI. Learn how to use this powerful set of business analytics tools to create and share visualizations with others in your organization.
7. Tableau Essential Training
Instructor: Curt Frye
Level: Beginner
Duration: 5 hours
Learn what you need to know to analyze and display data using Tableau 2020. Discover how to leverage the software to make smarter, more data-driven decisions.
8. The Non-Technical Skills of Effective Data Scientists
Instructor: Keith McCormick
Level: Beginner
Duration: 1 hour
Learn the nontechnical skills that effective data scientists must nurture to convert their first job into a successful, lifelong career.
9. Learning Data Analytics Part 2: Extending and Applying Core Knowledge
Instructor: Robin Hunt
Level: Intermediate
Duration: 3.5 hours
Learn how to provide quality data sets and accurate visualizations and explore practical skills to get the most from your data.
10. Predictive Analytics Essential Training: Data Mining
Instructor: Keith McCormick
Level: Intermediate
Duration: 2 hours
Get useful, real-world insights into using predictive analysis and data mining to solve problems.
11. SQL: Data Reporting and Analysis
Instructor: Emma Saunders
Level: Intermediate
Duration: 2.5 hours
Get the data you need for analysis and reporting by writing your own SQL code. Learn how to write basic SQL queries, sort and filter data, and join results from different tables.
12. R Essential Training: Wrangling and Visualizing Data
Instructor: Barton Poulson
Level: Intermediate
Duration: 4.5 hours
Learn how to wrangle data and create meaningful visualizations with R, the programming language powering modern data science.
13. Data Cleaning in Python Essential Training
Instructor: Miki Tebeka
Level: Intermediate
Duration: 1 hour
Learn how to detect, prevent, and fix errors to keep your data clean.
You can make use of these free data analytics courses and also get free certificate after completing these courses.
Check out other free courses on LINKEDIN LEARNING – CLICK HERE