Course Introduction

Python, the most popular programming language today owing to its user friendliness founded by Guido van Rossum, is a key tool in data science. Data science involves extracting insights from data, and Python simplifies this process. Companies like Google and Facebook rely on Python for their data operations.

In this course, you’ll learn to analyze data, create visualizations, and draw valuable conclusions. With the growing demand for data-driven insights, completing this course opens doors to exciting job opportunities as a data science professional, making you a sought-after candidate in various industries.

Course Objective

This Course aims to empower participants with a comprehensive skill set essential for effective data analysis. Covering key concepts such as data manipulation, statistical analysis, and machine learning using Python, the course ensures proficiency in handling real-world data challenges.

Participants will gain hands-on experience in data visualization and interpretation, enabling them to derive meaningful insights. Upon completion, students will confidently apply operational-level skills in Python for data cleaning, exploration, and predictive modeling, positioning them as adept data scientists capable of addressing complex business problems through data-driven decision-making.

Key Topics

  • Introduction to Python for Data Science
  • Data Manipulation and Analysis with Pandas
  • Statistical Analysis with NumPy
  • Data Visualization with Matplotlib and Seaborn
  • Machine Learning Basics with Scikit-Learn
  • Real-world Data Projects
  • Data Cleaning and Preprocessing

Scope & Career Opportunities

 Python for Data Science unlocks diverse career opportunities. This course equips participants to analyze data, extract insights, and make informed decisions across industries. Become a sought-after professional, meeting the rising demand for data-driven expertise, and secure exciting opportunities in various fields.

Target Audience

Salary Range

Job Roles

  • Data Enthusiasts
  • Freshers/Professionals
  • Researchers
  • Data Analysts
  • Maximum :25 LPA
  • Medium:10 LPA
  • Minimum:5 LPA
  • Hike upto 50%
  • Data Analyst
  • Business  Analyst
  • ML Engineer
  • Quantitative Analyst 

Assessment Pattern

  • Step-1: Go through the course curriculum & details
  • Step-2: Apply through Website
  • Step-3: Take mock test for level based personalized training
  • Step-4: Take regular classes & assessments
  • Step-5: Real time project
  • Step 6: Resume Building & Mock Interviews
  • Step-7: Internship 
  • Step-8: Placements

Course Features

Duration: 120 Hours

Trainings led by Corporate Trainers

Online/Offline/Hybrid as per clients requirement.

Guaranteed Placements & Mock Interviews

Free Personality Development & Spoken English Training

Free AI & Project Management Tool Training

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4 Reasons to Join VTDC

Here are 4 top reasons for you to choose VTDC for your Career Enhancement

A highly dedicated placement team supporting 100% placements, Internships & Live Projects for all our courses.

First CISCO Networking academy & pioneer in Redhat Academy programs

25+ years of experience in global consulting, IT certifications & Training

Strategic Partnerships with Tech Giants like Redhat, CISCO & IBM