Udemy

Data Analytics Real World Projects using Python

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  • 4,285 Students
  • Updated 9/2025
  • Certificate Available
4.3
(47 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
8 Hour(s) 51 Minute(s)
Language
English
Taught by
Shan Singh
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.3
(47 Ratings)
1 views

Course Overview

Data Analytics Real World Projects using Python

Start your Data Analytics Career with Python by solving Real-world case-studies ! Improve your Data Science skills !

Can you start right now?

A frequently asked question of Python Beginners is: "Do I need to become an expert in Python coding before I can start working on Data Analysis Projects ?"

The clear answer is : "No !

  • You just require some Python Basics like data types, simple operations/operators, lists and numpy arrays

As a Summary, if you primarily want to use Python for Data Science or as a replacement for Excel, then this course is a perfect match!




Why should you take this Course?

  • It explains Projects on  real Data and real-world Problems. No toy data! This is the simplest & best way to become a Data Analyst/Data Scientist

  • It shows and explains the full real-world Data. Starting with importing messy data, cleaning data, merging and concatenating data, grouping and aggregating data, Exploratory Data Analysis through to preparing and processing data for Statistics, Machine Learning and Data Presentation.


  • It gives you plenty of opportunities to practice and code on your own. Learning by doing.

  • In real-world projects, coding and the business side of things are equally important. This is probably the only course that teaches both: in-depth Python Coding and Big-Picture Thinking like How you can come up with a conclusion

  • Guaranteed Satisfaction: Otherwise, get your money back with 30-Days-Money-Back-Guarantee.


Course Content

  • 7 section(s)
  • 55 lecture(s)
  • Section 1 Introduction
  • Section 2 Introduction to Data Analytics !
  • Section 3 Introduction to Life-Cycle of Data Analytics Project
  • Section 4 Project 1: Job Market (Naukri.com) Data Analysis
  • Section 5 Project 2: Russian Tweets Data Analysis
  • Section 6 Project 3: Super-Market Sales Data Analysis
  • Section 7 Bonus lecture

What You’ll Learn

  • Boost your resume by learning real-world skills
  • Get a job as a data Analyst/scientist with Python
  • Take your career to the next level
  • Use Python to solve real-world tasks

Reviews

  • G
    Gagan c Holkar
    5.0

    Great teaching

  • P
    Prakash
    5.0

    The way of explanation is awesome.

  • N
    Nikolina Bukša
    4.0

    It is a bit hard to follow because of the language accent and fast speaking, but good explanation of the functions. Lacks more explanations about the meaningfulness of the insights.

  • A
    Adedoyin Stephen
    5.0

    IT WAS WELL BROKEN DOWN AND EASY TO UNDERSTAND

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