Udemy

Python for Data Analysis & Data Science

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  • 629 Students
  • Updated 3/2025
4.6
(164 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
13 Hour(s) 50 Minute(s)
Language
English
Taught by
Alexander Shafe
Rating
4.6
(164 Ratings)

Course Overview

Python for Data Analysis & Data Science

Hands-On Python Course for Data Analytics - Beginner to Advanced Level

Python is the fastest growing Data Analytics Programming Languages. This course takes you from knowing nothing about Python to becoming an expert analyzing data in Python. You will also learn about standard Python which is relevant for anyone who needs to know Python for other purposes like Web Development, Software Development e.t.c.

Knowing Python is incredibly important if you are looking into a career in any data related field.

This course is designed to equip you with what you need to be successful learning Python:

  • Hands-on code along structure.

  • Work on multiple projects.

  • Lots of practice exercises and task which solidifies your knowledge of each lessons.

  • Quizzes on sections covered.

  • Replicate real life scenarios and coding in Jupyter Notebook.

IS THIS YOU ?

Looking to work with data personally or professionally?

Starting or transitioning into a career as a Data Analyst, Data Scientist, Business Analyst, Report Analyst, ETL Specialist, BI Consultant, Data Engineer, or any data related field? Then you need to learn Python.

Also, if you are going into the field of Web Application & Internet development, Artificial Intelligence, Cybersecurity, Web Testing; it is imperative that you learn Python.

Course Requirement or Prerequisites

This course does not require any prior knowledge or specific academic background. The only requirement is having a laptop or desktop computer. All applications necessary for learning the course would be downloaded free from the internet.


Course Content

  • 10 section(s)
  • 153 lecture(s)
  • Section 1 Introduction
  • Section 2 Data Types & Variables
  • Section 3 Operators and Numbers in Python
  • Section 4 Using Strings in Python
  • Section 5 Slicing, Format Functions & Casting
  • Section 6 List - Data Structure
  • Section 7 Control Flow
  • Section 8 Tuple - Data Structure
  • Section 9 Dictionaries - Data Structure
  • Section 10 Functions

What You’ll Learn

  • Data Exploration & Manipulation using Python
  • Pandas Library
  • Data Analysis in Dataframe
  • Data Structures
  • Data Relationships
  • Functions
  • Working with Dates and Times Values
  • Series
  • Dictionaries
  • Tuples
  • Lists
  • .....and a lot more


Reviews

  • s
    samuel besweri
    5.0

    Would be good if the steps for installation, download and setup were captured in a power point as part of the course resources

  • V
    Vidhya Sagar
    5.0

    Good and understandable for begginer

  • L
    Laura Munthali
    4.0

    good course

  • B
    Barbara Wiadomska
    4.5

    great course! however I missed some tasks for practice! I needed to search for tasks on my own. But all in all - teacher explains in a very friendly way! Easy to understand!

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