Best data analyst course syllabus 2025.pdf

This Data Analyst Syllabus provides a comprehensive guide for students and professionals looking to master the skills required for data analysis. This course covers essential topics in data analysis, statistics, and tools used to process, visualize, and interpret data. Perfect for beginners and those looking to enhance their analytical capabilities, the syllabus is designed to help learners understand data-driven decision-making.

1. Data Analysis
with Python,
SQL,
Advance
Excel and
Power BI

2. PLACED STUDENT TESTIMONIALS
Learning at Technogeeks was always fun.
The trainer explained every detail of each concept
deeply, giving tasks and exercises to understand
technical concepts better.
It was a great experience to learn things under his
mentorship.
Parag
Placed in
One of the best Python Data Science training course and
instructor!
A big thank you to our trainer for his efforts.
The trainer helped beyond the classes and content of the
course. He also spent extra time in and off the classroom
trying to make a difference among us. His teaching methods
and content were great, and I want to point out how helpful he
has been to us.
Thanks to the Technogeeks team for all your hard work and
everything you have done for us.
Lalit
Placed In
3.4 LPA
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3 LPA

3. PLACED STUDENT TESTIMONIALS
It was a pleasure to learn with Technogeeks.
Thank Technogeeks team, for always being
willing to help me with my questions.
The concept explanation was also perfect by the
trainer.
Prajwal
Placed in
4 LPA
I joined Technogeeks to learn the latest software
skills and get an opportunity in IT.
I am thankful that Technogeeks made it possible.
Along with my efforts and the trainer's guidance, I
finally did it.
Mahima
Placed In
12.5 LPA
Checkout More Placement Record

4. JOIN US
technogeekscs.com
[phone]/
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questions? Let's talk
for expert guidance.
7028710777
Data Analysis with Python, SQL, Advance Excel
and Power BI
Course
You can join now with a Fee -
28,000/-
(PRICE INCLUSIVE OF GST)

5. Checkout Latest Batch Schedule
75 hours of
Live training
60 hours of
assignments
Checkout Data Analytics with Python Syllabus
Get A
of Recorded Live Sessions For
40 hours of
Projects
175 hours of
effective training
Data Analysis with Python, SQL, Advance Excel
and Power BI
Course

6. Training To Placement
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Work on
Milestone
Project
Course
Completion with
Certificate
Work on
Theory,
Practicals,
Assignments
Register for
Classroom/
Live Online
Sessions
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CV
Discussion
Interview
Preparation
(Mock Interviews)
Apply for
Jobs
Openings
You
Land
a Job

7. Technogeeks' Telegram Channel For
Placement Updates
On Technogeeks' Telegram channel, you can find all the most
recent job updates, from job posting to HR follow-up, in one
place.
First, download the Telegram app from the Play Store
if not installed on your mobile.
HOW TO JOIN THE TELEGRAM CHANNEL?
Open in a mobile browser and paste or type the
following URL - https://t.me/technogeekssolutions.
1.
2.
3. Or you can also search the technogeeks solutions in
search bar of Telegram app and join the channel.

8. Training Completion Certificate
Complete the course
online/classroom course
syllabus.
Completion of all assignments &
projects.
To obtain the Certification, you
have to fulfill the following criteria :

9. ABOUT TECHNOGEEKS
Technogeeks is a leading learning
platform providing online/Offline
training. We cater to professionals and
students across the globe in categories
like Programming & Coding Languages,
Data Science, Artificial Intelligence,
Software Testing, Cloud Computing,
Data Warehousing, Full Stack
Development, Big Data & Hadoop,
Business Intelligence,
Databases(DBMS). Our students spread
across countries like the US, India, UK,
Canada, Australia, Singapore, etc. We
provide 100% practical-oriented
training along with placement
assistance.

10. ABOUT COURSE
The Data Analytics & Visualization using
Python certification course is designed for
a wide range of learners and is structured
to keep up with all the requirements,
expectations, and standards of the
industry.
Data Analytics & Visualisation with Python
training is inclined towards hands-on
practise to give students Python-related
relevant skills to get control over all the
aspects of Python programming and Data
Analytics & Visualisation using Python.

11. OUR CANDIDATES ARE WORKING
WITH

12. Python is a powerful programming language that can help you make
sense of data, whether structured or unstructured. It provides
excellent libraries to extract insights from data through data science
applications.
Data analytics (analysis) and data visualization are two of the most
wanted and rapidly expanding skills within Data science.
Why Learn Data Analytics &
Visualization with Python?
Why is data analytics &
visualization still a rising career
in 2022?
Today, data analysts are one of the most sought-
after job profiles. Data analysts command high
salaries and good benefits, especially at the entry
level, because the number of people who can
actually execute this job is limited.

In India, the average salary for a Data Analyst is
Rs 545,000 per year.

According to the Times of India, need for data
analytics jumping 454 %.

13. Module - 1
Table of Contents
Master data analytics from
Scratch
Getting Started Python Programming
Setting Up And Installations
Module - 2
Module - 3
Module - 4
Module - 5
Module - 6
Module - 7
Module - 8
Module - 9
Module - 10
Module - 11
Python Object And Data Structures Operations
Python Statements
UDF Functions And Methods Methods
File And Exception Handling
Python Modules And Packages
Object-Oriented Programming
Advanced Python Modules
Package Installation And Parallel Processing
SQL (Structured Query Language)
From
Scratch
To
Data
Analyst

14. Module - 15
Table of Contents
Master data science from Scratch
Data Analysis using Advance Excel
Data Analysis With Python
Module - 16
Module - 17
Module - 18
Module - 19
Data Analysis Using Numpy
Data Analysis In Python With Pandas And
Advanced Anaysis
Data Visualization With Python
Beginner
to
Data Analyst
Module - 12
Module - 14
Rest APIs With Flask And Python
Data Wrangling With Python And EDA
Module - 20 Data Visualization using Power BI
Contact Us
Module - 21 Major Project and Github
Module - 13
Rest API Integration With Databases For Web
App Development

15. What is Python and brief history
Why Python and who use Python
Discussion on Python 2 and 3 Unique features of Python
Discussion on various IDE’s
Demonstration of practical use cases
Python use cases using data analysis
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Getting Started Python Programming
Module - 1, 2, 3
Setting Up And Installations
Python Object And Data Structures Operations
Installing python
Setting up Python environment for development
Installation of Jupyter Notebook
How to access python course material using Jupyter
Write your first program in python
Python built-in functions
Number objects and operations
Variable assignment and keywords String objects and operations
Print formatting with strings
List objects and operations
Tuple objects and operations
Dictionary objects and operations
Sets and Boolean
Object and data structures assessment test
Module - 1
Module - 2
Module - 3

16. Introduction to Python statements
If, elif and else statements
Comparison operators
Chained comparison operators
What are loops
While loops
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Python Statements
Module - 4, 5
UDF Functions And Methods Methods
Useful operators
List comprehensions
Statement assessment test
Game challenge
Methods
What are various types of functions
Creating and calling user defined functions
Function practice exercises
Lambda Expressions
Map and filter
Module - 4
Module - 5
Nested statements and scope
Args and kwargs
Functions and methods assignment
Milestone Project (Making tic-tac-toe in python)

17. Process files using python
Read/write and append file object
File functions
File pointer and operations
Introduction to error handling
Try, except and finally
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File And Exception Handling
Module - 6, 7
Python Modules And Packages
Python standard exceptions
User defined exceptions
Unit testing
File and exceptions assignment
Python inbuilt modules
Creating UDM-User defined modules
Passing command line arguments
Writing packages
Define PYTHONPATH
name and main
Module - 6
Module - 7

18. Object oriented features
Implement object oriented with Python
Creating classes and objects
Creating class attributes
Creating methods in a class
Inheritance
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Object-Oriented Programming
Module - 8, 9, 10
Advanced Python Modules
Polymorphism
Special methods for class
Assignment - Creating a python script to replicate deposits and
withdrawals in a bank with appropriate classes and UDFs.
Collections module
Datetime
Python debugger
Timing your code
Regular Expressions
StringIO
Module - 8
Module - 9
Python decorators
Python generators
Package Installation And Parallel Processing
Python inbuilt modules
Creating UDM-User defined modules
Passing command line arguments
Writing packages
Define PYTHONPATH
name and main
Module - 10

19. https://technogeekscs.com/
Module - 11, 12,
13
Module - 12
Rest APIs With Flask And Python
REST principles
Creating application endpoints
Implementing endpoints
Using Postman for API testing
Module - 13
Rest API Integration With Databases For Web
App Development
CRUD operations on database
REST principles and connectivity to databases
Creating a web development API for login registers and connecting
it to the database
Deploying the API on a local server
Module - 11
SQL (Structured Query Language)
SQL integration with Python
Table operations in SQL using Python
CRUD operations in SQL
Working on multiple tables using Python and SQL

20. https://technogeekscs.com/
Module - 14,15
Module - 14
Data Wrangling With Python And EDA
(Exploratory Data Analysis)
Data Analysis using Numpy and Pandas
Data Visualization using Matplotlib and Seaborn
Dealing with missing values, NaN values
Standard scaler
Correlation-based processing
Divide data in test and train splits to supply to machine-
learning algorithms
Time series analysis
Reshaping Data
Data Manipulation as per requirement
Derive columns based on rules
Filtering data
Compression and decompression techniques
Introduction in Excel
Data Cleaning & Preparation
Formatting & Conditional Formatting
Lookup Function
Data Analysis using Advance Excel
Module - 15
Analyzing data with Pivot Tables
Charts
Data Visualization/Dashboarding using excel
Data Analysis using statistics

21. https://technogeekscs.com/
Module - 16, 17,
18
Data Analysis Using Numpy
Introduction to Numpy arrays
Creating and applying functions
Numpy Indexing and selection
Numpy Operations
Module - 17
Exercise and assignment challenge
Data Analysis In Python With Pandas And
Advanced Anaysis
Pandas series
Introduction to DataFrames
Missing data
Groupby
Module - 18
Merging, joining and Concatenating
Operations
Data Input and Outpu
Pandas in depth coding exercises
POC - Analysis of e-commerce dataset using pandas
POC - Getting insights on employee salaries data using data
analysis in python
Data Analysis With Python
Introduction to data analysis
Why Data analysis?
Data analysis and Artificial Intelligence Bridge and
connecting it to database.
Introduction to Data Analysis libraries
Module - 16
Data analysis introduction assignment challenge

22. https://technogeekscs.com/
Module - 19
Data Visualization With Python
Plotting using Matplotlib
Plotting Numpy arrays
Plotting using object-oriented approach
Subplots using Matplotlib
Module - 19
Exercise and assignment challenge
Matplotlib attributes and functions
Matplotlib exercises
Matplotlib
Seaborn visualization
Categorical Plot using Seaborn
Distributional plots using Seaborn
Matrix plots
Grids
Seaborn exercises
Project - Getting insights using python analysis and
visualizations on finance credit score data.Pandas built-in
data visualization
Data visualization assignment
Seaborn Visualization

23. https://technogeekscs.com/
Module - 20, 21
Data Visualization using Power BI
Module - 20
Comparison Between Power BI & Programming Based Data
Visualization
Need Of Power BI
Types Of Data Sources Supported By Power BI For Report
Development
How To Build Report & Dashboard in Power BI
How To Build Charts In Power BI
Data Visualization Using Power BI Features
Types of Graphs
Multiple graphs combinations
Multiple file formats supported in Power BI
Data analysis without visualization
Data analysis with visualization
Module - 21 Major Project and Github
Project use cases Introduction
Project Scenarios
Project life cycle
What is version controlling in project management
What is GitHub
Significance of GitHub in project management
Code submission for testing and deployment
Predictive analytics tools and techniques
Project best practices

24. CONTACT US
Contact: [phone]/7028710777
Address: 3rd Floor, Plot No 7,
Common Wealth Society,
Opposite Aundh Telephone
Exchange,
Landmark: Gaikwad Petrol
Pump, Aundh, Pune 411007
Website: https://technogeekscs.com/
Email: [email protected]

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