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Data Analysis

Learn data analysis with hands-on projects covering Python, Excel, SQL, Tableau, Power BI, and business analytics. Master real-world dashboards, insights, and reporting to become job-ready in today's

0 students48h 37m

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Data Analysis

About This Course

About This Course

A complete Data Analysis program covering Python, Excel, SQL, data visualization, dashboards, analytics workflows, and real-world projects designed to take you from zero experience to job-ready Data Analyst.

Throughout the program, students learn by doing working with real datasets, completing weekly assignments, creating dashboards in Tableau and Power BI, writing SQL queries, analyzing business data, and building end-to-end portfolio projects. Every concept is explained simply and practiced through hands-on examples to ensure students gain the practical skills companies look for in data roles.

Learners start from the very basics: installing Python, using Excel, understanding data, and cleaning data. Step-by-step, they progress to professional skills such as Pandas data manipulation, exploratory data analysis, advanced data visualization, dashboard creation, business reporting, data storytelling, and using SQL to work with databases.

By the end of the program, students complete multiple portfolio-ready projects, strong analytics fundamentals, and the confidence to apply for Data Analyst or Business Intelligence Analyst roles.

What You'll Learn

Learn Python fundamentals
Clean & manipulate data using Pandas & NumPy
Statistics for Data Analysis
Create visualizations with Matplotlib & Seaborn
Perform exploratory data analysis (EDA)
Work confidently with Excel
Write SQL queries for real databases
Build dashboards in Tableau, Streamlit & Power BI
Analyze business data & create reports
Automate simple analysis tasks
Build a job-ready portfolio

Requirements

  • No coding experience required
  • No math background needed
  • Laptop or desktop
  • Stable internet connection
  • Willingness to practice 4-6 hours/week

Who This Course Is For

  • IT Students
  • Complete beginners
  • Career switchers
  • Fresh graduates
  • Junior analysts
  • Aspiring data analysts

Trending Topics

#Machine Learning#Python#Google Analytics 4 (GA4)#Business Intelligence (BI)#Power BI#Data Visualization#Industry-Oriented Training#Exploratory Data Analysis (EDA)#Jupyter Notebooks#Dashboard Creation