Data Science with Python

  • Load and clean data with pandas
  • Summarise data with descriptive statistics
  • Certificate of completion when you finish every lesson
Last updated in Nov 2026
Course languages
English
Certification
Certificate of completion from InternHub
Duration
8 weeks · Intermediate level
Included with this course
8 topics
1 project
3 tools covered

Data Science with Python certification

InternHub certificate of completion

Complete every topic of Data Science with Python to get a certificate with your name and the course. Each certificate carries a unique number that employers can check on InternHub.

iH InternHub

Certificate of completion

This is to certify that

Your Name

has successfully completed the online course

Data Science with Python

8 November 2026Date of completion
Priya NairInstructor
IH-XXXX-XXXXCertificate no.

Why learn Data Science?

  • Decisions run on data

    Teams in every industry want people who can turn data into clear answers.

  • Builds on skills you can reuse

    Python, statistics and visualisation help in analyst, product and research roles.

  • Learn by exploring real datasets

    Each topic is practised on data, not just theory.

What placement assistance will you receive?

  • Build your resume on InternHub

    Add the course and your projects to your InternHub resume so recruiters see what you can do.

  • Job alerts that match your skills

    Turn on job alerts in your profile to hear about internships and fresher jobs that fit what you learn here.

  • Apply from the same account

    Apply to internships and jobs on InternHub with the profile you already have.

AI tools you will learn

pandas

Load, clean and reshape tabular data.

Matplotlib

Plot charts that explain what the data shows.

Jupyter Notebook

Combine code, charts and notes in one place.

Data Science with Python Curriculum

3 modules · 8 topics · 2h 49m total

Working with data 3 Topics
  • Notebooks and setup
  • pandas DataFrames
  • Cleaning messy data
Exploring data 2 Topics
  • Descriptive statistics
  • Grouping and aggregation
Visualisation 3 Topics
  • Charts with Matplotlib
  • Choosing the right chart
  • Case study

Data Science with Python project details

Sales data analysis

Capstone project

Clean a sales dataset, find trends by month and region, and present the findings with charts.

Meet your instructor

Priya NairData scientist

Priya works on forecasting and analytics for retail companies and loves turning messy data into clear answers.

Data Science with Python overview

Learn the everyday workflow of a data analyst: loading data, cleaning it, exploring it and presenting what you find. Finish with a case study on a real public dataset.

What you will learn

  • Load and clean data with pandas
  • Summarise data with descriptive statistics
  • Build clear charts
  • Present findings in a short report

Skills you will gain

Python pandas NumPy Matplotlib Statistics

Prerequisites

  • Basic Python (variables, loops, functions)

Data Science with Python FAQs

Q. Do I need any prior experience?

Check the prerequisites above. Beginner courses start from the basics.

Q. How long do I have access to the course?

Once you enroll, the lessons stay available in My learning.

Q. Can I learn at my own pace?

Yes. Lessons are self-paced and your progress is saved as you mark them complete.

Q. Will I get a certificate?

Yes. When you complete every lesson you can open your certificate from the course page and print it. It has a number employers can verify on InternHub.

Q. Do I have to pay to enroll?

Online payment is not available yet. Enrolling gives you access to the lessons now and no payment is taken.