Courses/Data Analysis

Data Analysis with Python

Transform Data into Actionable Business Insights. Build a strong Python foundation, perform EDA, and create powerful visualizations and dashboards.

4.8(18+ ratings)
180 students
English
Last updated 12/2024
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Course preview
View Syllabus
Duration
20 Hours
Lectures
24 Modules
Level
Beginner to Advanced
Certificate
Included

Professional Certification Included

Successfully complete the Data Analysis with Python program to earn an industry-recognized certificate of completion.

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Career Milestone

Guaranteed Outcomes

People don’t buy lectures — they buy results.

Portfolio-Ready Projects

Build hands-on labs like Sales Dashboards and HR Analytics using real-world datasets.

Career Transition Focused

Designed specifically for professionals transitioning into Data Analytics.

Specific Skills You'll Master:

Online Instructor-led Training
Industry-oriented curriculum
Hands-on labs
Real-world datasets
Portfolio-ready projects
Course preview
View Syllabus
Duration
20 Hours
Lectures
24 Modules
Level
Beginner to Advanced
Certificate
Included

Training 5+ people?

Get your team access to our premium training content.

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Technologies Covered

PythonJupyter NotebookVS CodeNumPyPandasMatplotlibSeabornSQLExcel

How You'll Learn

Live Sessions

Join expert-led classes via Zoom / Meet. Real-time doubt clearing.

Session Recordings

HD recordings of every session.

Hands-on Work

Weekly assignments and industry-grade portfolio projects.

Weekly Roadmap

Structured learning cadence to ensure consistent progress.

Meet Your Instructor

Support Me Techs Team
Top Rated

Support Me Techs Team

Senior Technical Mentor

Learners

1k+

Rating

4.8/5

Courses

5+

Course Content & Outcomes

9 lectures • 20 Hours total length

Build a strong Python foundation

01

Analyze and clean data

02

Perform EDA

03

Create visualizations

04

Generate business insights

05

Automate reporting

06

Sales Dashboard (Project)

07

Customer Insights (Project)

08

HR Analytics (Project)

09

Requirements

  • Basic understanding of programming concepts
  • A computer with internet access
  • No prior professional experience required
  • Passion for learning and building!