Intro to Data Analytics

5.5 CPEStatistics

This course is designed to help learners understand and apply the core concepts of big data and data analytics. By exploring real-world applications, participants will gain essential skills in data analysis, visualization, and decision-making.

VIDEO COURSE

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About this course

The Intro to Data Analytics Course offers a comprehensive journey into the world of big data and analytics. Through a combination of foundational learning, statistical tools, and hands-on case studies, participants will delve into techniques for analyzing complex datasets to uncover trends, patterns, and actionable insights.

The course emphasizes practical application, ensuring learners are equipped to solve real-world problems.

What you’ll learn

Upon completion of this course, you will be able to:

Big Data Fundamentals: Understand what big data is, its characteristics, and its impact on decision-making.
Core Analytical Techniques: Gain proficiency in descriptive, predictive, and prescriptive analytics.
Statistical Bootcamp: Learn key statistical concepts like averages, standard deviation, correlation, and regression analysis.
Data Visualization: Master tools and methods for visual representation of data insights.
Case Study Application: Apply analytics to a real-world business scenario involving gender pay gap analysis.

Course content

8 lessons · 52 steps · 3h 28m of video

01LESSON 1Welcome2 items

02LESSON 2Introduction to Data Analytics & Big Data4 items

03LESSON 3Understanding the Data8 items

04LESSON 4Pareto Analysis5 items

05LESSON 5Correlation & Regression Analysis9 items

06LESSON 6Relationships10 items

07LESSON 7Modeling & Dashboarding12 items

08LESSON 8Conclusion1 item

Locked

Final assessment

Course access is required to take this assessment.

26 questions70% to passUnlimited attempts

On course completion: 5.5 CPE and a certificate

Course details

CPE: 5.5
Field of study: Statistics
Course level: Not specified
Delivery method: QAS™ Self Study
Prerequisites: You don’t need any background in statistics or advanced math. However, you should have an intermediate knowledge of Excel (e.g. IF statements, VLOOKUP, COUNTIFS, etc.). If you are not comfortable with these Excel tools, we highly recommend taking our <a href="https://wisdify.com/bootcamps/online-microsoft-excel-course/">Microsoft Excel Bootcamp</a>. Also, we strongly recommend taking our <a href="https://wisdify.com/courses/dashboards-power-bi/">Dynamic Dashboards</a> course which goes hand-and-hand with this course.
Advance preparation: Not specified
Course content: 8 lessons · 52 steps
Assessment: Final assessment · 26 questions · pass 70%
Completion deadline: 365 days from enrollment
Last updated: May 2017
Registration: A free Wisdify account and course enrollment are required.