Best data analyst course syllabus 2025.pdf

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

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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
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Thanks to the Technogeeks team for all your hard work and
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PLACED STUDENT TESTIMONIALS
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Thank Technogeeks team, for always being
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The concept explanation was also perfect by the
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Data Analysis with Python, SQL, Advance Excel
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Training Completion Certificate
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syllabus.
Completion of all assignments &
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ABOUT TECHNOGEEKS
Technogeeks is a leading learning
platform providing online/Offline
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like Programming & Coding Languages,
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Databases(DBMS). Our students spread
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Canada, Australia, Singapore, etc. We
provide 100% practical-oriented
training along with placement
assistance.

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.

OUR CANDIDATES ARE WORKING
WITH

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 %.

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

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

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
https://technogeekscs.com/
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

Introduction to Python statements
If, elif and else statements
Comparison operators
Chained comparison operators
What are loops
While loops
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)

Process files using python
Read/write and append file object
File functions
File pointer and operations
Introduction to error handling
Try, except and finally
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

Object oriented features
Implement object oriented with Python
Creating classes and objects
Creating class attributes
Creating methods in a class
Inheritance
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

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

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

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

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

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

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