Overview
This course provides foundational and advanced skills to analyze and interpret data effectively. Learn key techniques such as data cleaning, visualization, and statistical analysis using tools like Excel, Python, or Power BI. Ideal for anyone looking to turn data into actionable insights and make data-driven decisions.
Course Outline
-
Data Analytics and Visualization
- Microsoft Power BI - 7 Modules (04hrs 20min)
- Python for Data Analysis Step-By-Step with Projects - 11 Modules (09hrs 58min)
- Introduction To Data Science Using R Programming - 7 Modules (06hrs 59min)
- Learning Spark Programming - 14 Modules (05hrs 45min)
- Pandas and NumPy Tips, Tricks, and Techniques - 7 Modules (04hrs 31min)
- Python Data Visualization with Matplotlib 2.x - 8 Modules (04hrs 13min)
- Building Predictive Models with Machine Learning and Python - 6 Modules (02hrs 47min)
- Big Data Analytics Projects with Apache Spark - 5 Modules (02hrs 04min)
- Splunk Beginner Course 2023 - 4 Modules (01hrs 49min)
- Projects on Power BI - 4 Modules (00hrs 36min)
Why Choose CareerAid
Embark on a global career journey with us, where boundless opportunities meet unparalleled guidance. Choose us as your gateway to a world of possibilities, ensuring your success on the international stage.
Explore
Trending topics to advance your skills
Save
Discounts on taking up multiple courses in a year
Learn
Multiple courses at your own pace and seamless switching
Get Certified
Certification on course completion at no extra cost
