Data Analytics Training Provided by Technogeeks Training Institute in Pune,Aundh
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MODULE -1 GETTING STARTED PYTHON
PROGRAMMING
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
MODULE 2 - SETTING UP AND INSTALLATIONS
Installing
python
Setting up
Python environment for development
Installation of
Jupyter Notebook
How to access
our course material using Jupyter
Write your
first program in python
MODULE 3 - PYTHON OBJECT AND DATA
STRUCTURES OPERATIONS
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 4 - PYTHON STATEMENTS
Introduction to
Python statements
If, elif and
else statements
Comparison
operators
Chained
comparison operators
What are loops
For loops
While loops
Useful
operators
List
comprehensions
Statement
assessment test
Game challenge
MODULE - 5 UDF FUNCTIONS AND METHODS
METHODS
Methods
What are
various types of functions
Creating and
calling user defined functions
Function
practice exercises
Lambda
Expressions
Map and filter
Nested
statements and scope
Args and kwargs
Functions and
methods assignment
Milestone Project (Making tic-tac-toe in python)
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Module - 6 FILE AND EXCEPTION HANDLING
Process files
using python
Read/write and
append file object
File functions
File pointer
and operations
Introduction to
error handling
Try, except and
finally
Python standard
exceptions
User defined
exceptions
Unit testing
File and
exceptions assignment
Module - 7 PYTHON MODULES AND PACKAGES
Python inbuilt
modules
Creating
UDM-User defined modules
Passing command
line arguments
Writing
packages
Define
PYTHONPATH
name and main
Module - 8 OBJECT ORIENTED PROGRAMMING
Object oriented
features
Implement
object oriented with Python
Creating
classes and objects
Creating class
attributes
Creating
methods in a class
Inheritance
Polymorphism
Special methods
for class
Assignment -
Creating a python script to replicate deposits and withdrawals in a bank with
appropriate
classes and UDFs.
Module - 9 ADVANCED PYTHON MODULES
Collections
module
Datetime
Python debugger
Timing your
code
Regular
expressions
StringIO
Python
decorators
Python
generators
Module - 10 PACKAGE INSTALLATION AND
PARALLEL PROCESSING
Install
packages on python
Introduction to
pip, easy_install
Multithreading
Multiprocessing
MODULE- 11 REST APIS WITH FLASK AND PYTHON
REST principles
Creating
application endpoints
Implementing
endpoints
Using Postman
for API testing
Module - 12
Rest Api Integration With Databases
For Web App
Development
CRUD operations
on database.
REST principles
and connectivity to databases
MODULE- 12 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 register and connecting it to database.
Deploy the API
on local server.
MODULE- 13 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
MODULE- 14 DATA ANALYSIS WITH PYTHON
Introduction to
data analysis
Why Data
analysis?
Data analysis
and Artificial intelligence bridge
Introduction to
Data Analysis libraries
Data analysis
introduction assignment challenge
MODULE- 15 DATA ANALYSIS USING NUMPY
Introduction to
Numpy arrays
Creating and
applying functions
Numpy Indexing
and selection
Numpy
Operations
Exercise and
assignment challenge
MODULE- 16 DATA ANALYSIS IN PYTHON WITH
PANDAS AND ADVANCED ANALYSIS
Pandas series
Introduction to
DataFrames
Missing data
Groupby
Merging,
joining and Concatenating
Operations
Data Input and
Output
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
MODULE- 17 DATA VISUALIZATION WITH PYTHON
Plotting using
Matplotlib
Plotting Numpy
arrays
Plotting using
object-oriented approach
Subplots using
matplotlib
Matplotlib
attributes and functions
Matplotlib
exercises
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
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