BEST PYTHON FOR DATA SCIENCE JOB ORIENTED TRAINING IN LUCKNOW
Python is a general purpose language, used by Data Scientists and Developers, which makes it easy to Collaborate across your organization through its Simple Syntax

PYTHON FOR DATA SCIENCE

What you'll learn

BEST PYTHON FOR DATA SCIENCE JOB ORIENTED TRAINING IN LUCKNOW

Python has been widely accepted as the programming language of choice for high-level data processing because of its no-mess syntax, easy readability, and easy comprehension. Its numerous data structures, classes, nested functions, iterators, the flexible function calling syntax and extensive libraries make it apt for data analyzing, extracting information and making informed business decisions.

The popularity of data science in driving business has pushed the demand for Python experts and programmers. Keeping this in mind we have designed a Python course for you which will help you master the language and use it to develop powerful data statistics applications.

This course will walk you through Python basic programming and usage of critical libraries like Numpy, Pandas, Matplotlib, Seabon, and ggplot. Python for Data Science course prepares you with Python Programming capabilities for Data Manipulation
Exploratory Data Analysis and Data Visualization which are an absolute must for being
a Data Science expert.

  • Basics of Python
  • Python fundamentals
  • Data Structures
  • Conditional Statements
  • Object Oriented Programming
  • Analyzing Data
  • Python for advanced analysis
  • Data Visualization



CURRICULUM

Python Basics
TOPIC :

  • Install Anaconda
  • Data Types & Variables
String and Regular Expressions
TOPIC :

  • String Operations
  • Uses of Regular Expressions
  • Methods of Regular Expressions
  • Commonly used Operators
Data Structures in Python
TOPIC :

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets
Control & Loop Statements in Python
  • For Loop
  • While Loop
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement
Functions & Classes in Python
TOPIC :

  • Writing your own functions (UDF)
  • Calling Python Functions
  • Functions with Arguments
  • Calling Python Functions by passing Arguments
  • Lambda Functions
Object Oriented Programming
TOPIC :

  • Introduction to Python Classes
  • Defining Classes
  • Initializers
  • Instance Methods
  • Properties
  • Class Methods and Data
  • Static Methods
  • Private Methods and Inheritance
  • Module Aliases
Working with Data
TOPIC :

  • Reading files using Pandas library
  • Understanding function parameters
  • Writing files from Python
  • Reading various other file types in python
Data Manipulation Using Pandas
TOPIC :

  • Clean & Prepare Datasets
  • Data Transformations
  • Encoding
Exploratory Data Analysis
TOPIC :

  • Summarize Data
  • Statistical analysis of Data
  • Extensive Data Exploration for deeper insights
  • Missing value treatment
  • Quality Analysis
Data Visualization with Matplotlib
TOPIC :

  • Installing matplotlib
  • Importing matplotlib
  • Modules of matplolib: pyplot, image, animation
  • Charts using matplotlib: box plot, pie-charts, scatterplots, histogram, bar-chart
Data Visualization with Seaborn
TOPIC :

  • Installing Seaborn
  • Importing Seaborn
  • Applications of Seaborn
  • Visualizing statistical relationships
  • Seaborn figure styles
Data Visualization with ggplot
TOPIC :

  • Grammar of Graphics
  • Installing ggplot
  • Importing ggplot
  • Components of ggplot
  • Charts using ggplot: Bar charts, Scatterplots, Polar PlotsHands-on:: Write Python code using ggplot to visualize data and represent it graphically
Analyze Visualize & Treat Missing Values
TOPIC :

  • Checking missing values
  • Visualize data after analyzing
  • Methods to impute missing values
Case Study
TOPIC :

  • Real-Life Case Study

Phone: 0522 355 7128
Email: joborientedtraining@gmail.com
D-2 107, Vibhuti Khand, Gomti Nagar, Lucknow
Uttar Pradesh - 226010