Certificate in Data Analysis with Python

How It Works

  1. 1. Select Certification & Register
  2. 2. Receive Online e-Learning Access (LMS)
  3. 3. Take exam online anywhere, anytime
  4. 4. Get certified & Increase Employability

Test Details

  • Duration: 60 minutes
  • No. of questions: 50
  • Maximum marks: 50, Passing marks: 25 (50%).
  • There is NO negative marking in this module.
  • Online exam.

Benefits of Certification


$49.00 /-
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Data analysis is the process of exploring, interpreting, and transforming raw data into meaningful insights that support informed decision-making. With the growing demand for data-driven strategies, mastering analytical tools and techniques has become essential across industries.

Certificate in Data Analysis with Python equips learners with practical skills to clean, manipulate, and visualize data using powerful Python libraries like Pandas, NumPy, and Matplotlib. The program simplifies complex concepts through hands-on exercises and real datasets, helping you build a strong foundation in Python-based analytics.

Why should one take Data Analysis with Python Certification?

Taking a Data Analysis with Python Certification helps you build in-demand skills using one of the most widely used programming languages in data science. It equips you with practical knowledge of data cleaning, manipulation, and visualization, making you job-ready for roles in analytics. This certification strengthens your portfolio, boosts career prospects, and ensures you can work confidently with real-world datasets.

Who will benefit from taking Data Analysis with Python Certification?

This certification is ideal for beginners, students, and professionals who want to start or advance a career in data analytics. It also benefits software developers, business analysts, and anyone looking to enhance their ability to work with data using Python. Whether you're transitioning into analytics or seeking to strengthen your technical skill set, this program provides a solid foundation.

Data Analysis with Python Table of Contents

https://www.vskills.in/certification/data-analysis-with-python-table-of-contents

Data Analysis with Python Practice Test

https://www.vskills.in/practice/data-analysis-with-python-questions

Data Analysis with Python Interview Questions

https://www.vskills.in/interview-questions/top-10-data-analysis-with-python-interview-questions

Companies that hire Vskills Data Analysis with Python

Vskills Data Analysis with Python professionals are hired by a wide range of companies, including IT firms, consulting organizations, startups, and data-driven enterprises. Roles are available in companies such as Wipro, TCS, Infosys, Accenture, Cognizant, Capgemini, analytics firms, fintech companies, and product-based startups that rely on Python for data insights and decision-making.


Data Analysis with Python Blogs

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Data Analysis with Python Jobs

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Data Analysis with Python Internships

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TABLE OF CONTENT


Introduction & Course Overview

  • Introduction to Course

Basics of Python

  • Getting Started
  • Python Variables
  • Python Terms
  • Python Data Types
  • Strings
  • String Formatting
  • Arithmetic, Assignment & Comparison Operators
  • Conditional Statements
  • Lists
  • Dictionaries
  • Sets
  • Tuples
  • Logical Operators
  • Loops
  • List Comprehension
  • Exercise: Skill Investigation
  • Functions
  • Lambda Functions
  • Modules
  • Exercise: Cleaning Data
  • Libraries
  • Classes

Introduction to Numpy

  • Numpy: Introduction

Basics of Pandas

  • Introduction to Pandas
  • Data Inspection
  • Data Cleaning
  • Data Analysis
  • Exercise: Pandas Basics

Basics of Matplotlib

  • Introduction to Matplotlib
  • Plotting
  • Matplotlib: Labeling
  • Matplotlib: Pandas Plotting
  • Exercise: Matplotlib Basics

Pandas Advanced

  • Anaconda Installation
  • Visual Studio Code Installation
  • Virtual Environments
  • Accessing Data
  • Data Cleaning
  • Data Management
  • Pivot Tables
  • Index Management
  • Exercise: Job Demand

Merge DataFrames

  • Concat DataFrames
  • Exporting Data
  • Apply Function
  • Explode Function
  • Exercise: Trending Skills

Matplotlib Advanced

  • Format Charts
  • Pie Plots
  • Scatter Plots
  • Advanced Customization
  • Histograms
  • Box Plots
  • Exercise: Skill Pay Analysis

Introduction to Seaborn

  • Seaborn: Introduction

Project

  • Project: Introduction
  • Git & GitHub Setup
  • Skill Demand
  • Skills Trend
  • Salary Analysis
  • Optimal Skills

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