Data Analytics
Discover how to turn raw data into actionable insights. In this beginner-friendly course, you'll learn to analyze, interpret, and visualize data using industry-...
Weekly LIVE Sessions
4.0
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Discover how to turn raw data into actionable insights. In this beginner-friendly course, you'll learn to analyze, interpret, and visualize data using industry-...
Weekly LIVE Sessions
4.0
Data Analytics is the process of collecting, organizing, and analyzing raw data to discover useful patterns, draw conclusions, and support decision-making. It involves the use of statistical tools, programming, and data visualization techniques to transform complex data into actionable insights. In business, data analytics helps identify trends, optimize processes, improve customer experiences, and drive strategic planning. It covers various types such as descriptive (what happened), diagnostic (why it happened), predictive (what could happen), and prescriptive (what should be done).
By taking this course, you'll gain practical skills that are in high demand across industries .such as data interpretation, critical thinking, and familiarity with tools like Excel and SQL. Whether you're looking to switch careers, upskill for a promotion, or better understand data in your current role, this course offers a clear pathway to real-world application. You'll learn how to turn raw data into actionable insights, make data-driven decisions, and add measurable value to any organization, making you a more competitive and confident professional in todayβs data-driven economy.
Introduction to Obtaining and Scrubbing Data
Data World
Where to Look for Data
Common Data Formats
Sampled Data
First-Party and Third-Party Data
Evaluating the Validity of Data Sources
Scrubbing Your Data Clean
Remove Duplicate Records
Format your records
Handle Missing Values
Check for wrong values
Real World Example
Case Study: Obtaining Data
Case Study: Scrubbing Data
Review
Quiz: OS Data
0:10:0Understanding Generative AI
Exploring Different Generative AI Technologies
Applications of GenAI in Business
Navigating the Challenging Concerns with AI
Integrating Generative AI with Data Analytics
Improving Data Quality and Generation with Generative AI
Generative AI in Predictive Analysis
Case Study: GenAI in Data Analytics
Quiz: Generative AI
0:10:0Basic computer literacy
Familiarity with spreadsheets (e.g., Excel or Google Sheets)
Interest in working with data
Understand data types and sources
Perform basic data cleaning and analysis
Interpret and visualize data for insights
Build a simple data project portfolio
Perform basic data cleaning and analysis
The assignments were challenging but rewarding. I now feel confident in cleaning and interpreting data.
From Excel basics to SQL queries, this course covered it all. It gave me a solid foundation to pursue a career in analytics.
This course made data visualization simple. The Power BI section was my favorite, and I can now present insights to my team confidently.
Students
0language
EnglishDuration
00h 00mLevel
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