Data Science
Beginner Level
Data Analytics - The art of data driven decision
This course introduces the principles and techniques of data analytics, focusing on how to transform raw data into meaningful insights for informed decision-making. Learners will work with tools such as Microsoft Excel, SQL, and Python to analyze, visualize, a...
What You'll Learn in This Course
Core concepts, architecture, and practical foundations
Hands-on lab exercises and real-world project builds
Industry best practices and production troubleshooting
Verified Certificate of Completion upon finishing
Course Syllabus & Curriculum
2 Modules · 6 Lessons
Week 1
Python for Data Science
Python Basics Review
FREE
20 min
NumPy Fundamentals
25 min
Pandas DataFrames
30 min
Data Cleaning
FREE
28 min
Exploratory Data Analysis
22 min
Data Visualization
35 min
Requirements & Prerequisites
- A computer with internet access and modern web browser
- Enthusiasm to learn and complete hands-on assignments
Course Description
This course introduces the principles and techniques of data analytics, focusing on how to transform raw data into meaningful insights for informed decision-making. Learners will work with tools such as Microsoft Excel, SQL, and Python to analyze, visualize, and interpret data.
Through practical exercises, students will learn how to identify trends, build reports, and communicate findings effectively, enabling them to make data-driven decisions across various industries.
Through practical exercises, students will learn how to identify trends, build reports, and communicate findings effectively, enabling them to make data-driven decisions across various industries.
Free
Free Open-Access Course
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