Data Analytics using Python(Self-Paced+live)

Pursuing Graduation 31 Dec, 2026

5,000

Data Analytics using Python(Self-Paced+live)
Course Start Date
17 Mar, 2026
Application Dates
17 Mar, 2026 - 31 Dec, 2026
Duration
25 hours
Course Mode
Self paced
Training Partner
Certification

Course Overview

The Data Analytics with Python is designed to equip learners with the essential skills required to analyze and interpret data using Python. The course begins with the fundamentals of Python programming and gradually progresses to data analysis using powerful libraries such as NumPy and Pandas. Participants will learn how to work with datasets, perform data cleaning and transformation, and apply analytical techniques to extract meaningful insights from data. Through structured modules and practical examples, the program provides a strong foundation in data analytics that can support career opportunities in data-driven roles across various industries. The self-paced format allows learners to study at their convenience while building practical skills in one of the most widely used tools in data analysis.

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Key Topics

Python environment setup, variables, data types, operators, and basic syntax.

Conditional statements, loops, lists, tuples, dictionaries, and sets.

NumPy arrays, mathematical operations, and numerical data manipulation.

Working with Series and Data Frames, data cleaning, filtering, and transformation.

Data merging, grouping, aggregation, and handling real-world datasets.

INR 5,000

Investment

to secure your future
1 Course Fee

Rs.5000/-

 

Skills Covered

  • Python programming for data analysis
  • Handling and manipulating structured datasets
  • Data cleaning and pre-processing techniques
  • Performing statistical and numerical analysis using Python libraries
  • Extracting meaningful insights from raw data

Who is this course for?

Graduates or undergraduates with basic knowledge in programming

Training Partners

  • ADDITIONAL SKILL ACQUISITION PROGRAMME KERALA

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FAQs

No. The course starts with Python fundamentals, so beginners can easily follow the lessons.

Yes. You can learn at your own pace and access the course materials and recordings anytime.

The course primarily uses Python along with libraries such as NumPy and Pandas for data analysis.

Yes. A certificate will be issued upon successful completion of the course and assessment requirements.

The course builds foundational skills required for roles such as Data Analyst, Business Analyst, and Data Processing Associate.

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