Python Beginner to Advanced Level: Data Analytics & Data Science
Hands-On Python Course for Data Professionals - Data Scientist, Data Analyst, BI Developer
Updated on Jun, 2025
Language - English
Development ,Data Science,Data Analysis
Lectures -149
Resources -1
Duration -13.5 hours
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Course Description
Python 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.
Goals
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
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.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
7 Lectures
-
Course Requirement
01:05
01:05
-
Course Structure
03:10
03:10
-
Download and Install Application
00:39
00:39
-
Install Python Application on Windows
02:45
02:45
-
Install Python Application on Macbook
05:02
05:02
-
Using Jupyter Notebook
07:20
07:20
-
Python Files
02:01
02:01
Data Types & Variables
4 Lectures
Operators & Numbers in Python
3 Lectures
Strings in Python
3 Lectures
Slicing, Format Function & Casting
5 Lectures
List Data Structure
3 Lectures
Control Flow
7 Lectures
Tuple - Data Structure
2 Lectures
Dictionaries - Data Structure
5 Lectures
Functions
6 Lectures
Series
15 Lectures
Dataframe I
18 Lectures
Dataframe II
11 Lectures
Dataframe III
13 Lectures
Manipulating text data in a dataframe
8 Lectures
Multi Index in Dataframe
6 Lectures
Groupby Object
7 Lectures
Data Relationship
13 Lectures
Dates & times dataset
9 Lectures
Import & export datasets
3 Lectures
Conclusion
1 Lectures
Instructor Details
Techquest Hub
Experience learning in different ways with TechQuest Hub experts. We are a collection of intellectuals and profound professionals working in various fields with a common passion for teaching. This name works as a hub for any professional who would like to share their knowledge about their expertise. We work towards making this valuable input and practical knowledge available to learners across the globe.
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