Data Analytics Foundation eLearning
What's Included
Everything you need for certification success — no hidden extras.
Course Overview
Comprehensive coverage of fundamental data analysis concepts and processes.
Practical modules on data collection, cleaning, management, and compliance.
In-depth exploration of statistical methods, data mining, machine learning, and NLP.
Detailed training on data visualization techniques and best practices.
Includes quizzes, learning materials, and official practice exam for certification readiness.
Course Structure
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Skills You'll Gain
Transforming data into insights: Understand the fundamental concepts of data analysis, learn how to outline the analysis process, and gain insight into the risks associated with data analysis.
- Transforming data into insights: Understand the fundamental concepts of data analysis, learn how to outline the analysis process, and gain insight into the risks associated with data analysis.
Collecting, organizing, and managing data: Learn how to gather public data and find data sources, comply with data management legislation, and understand the importance of different types of data. Explore the use of distributed file systems and the benefits of cloud solutions.
- Collecting, organizing, and managing data: Learn how to gather public data and find data sources, comply with data management legislation, and understand the importance of different types of data. Explore the use of distributed file systems and the benefits of cloud solutions.
Data cleaning: Discover methods and techniques for data cleansing and understand key considerations for data retention.
- Data cleaning: Discover methods and techniques for data cleansing and understand key considerations for data retention.
Data analysis: Differentiate between descriptive and inferential statistics, delve into data mining and machine learning including natural language processing (NLP), and learn how to apply various data algorithms.
- Data analysis: Differentiate between descriptive and inferential statistics, delve into data mining and machine learning including natural language processing (NLP), and learn how to apply various data algorithms.
Data visualization: Get acquainted with data visualization techniques, explore different types of charts, plots, and heatmaps, and appreciate the role of aesthetic design in data visualization.
- Data visualization: Get acquainted with data visualization techniques, explore different types of charts, plots, and heatmaps, and appreciate the role of aesthetic design in data visualization.
Who Should Enroll
Designed for professionals who want to drive excellence and lead transformation.
<p>This course is designed for professionals who want to build a strong foundation in data analytics, including business analysts, data coordinators, and managers who work with data-driven decision-making. It’s ideal for individuals new to data analysis as well as those seeking to formalize their knowledge with an industry-recognized certification. The course is also suitable for professionals in roles that require interpreting data reports or requesting analytics support, including marketing, finance, operations, and IT teams. No prior advanced data experience is needed—just a willingness to learn and apply essential data analysis skills to support effective business outcomes.</p>
Ready to Get Certified?
Complete certification package — best value
Data Analytics Foundation eLearning
- 16
- 365 days