Python Data Analytics Training Course with Certificate and Placement, Vadodara

Learn Python Data Analytics - Beginners to Advanced level Course Online/Offline and be Job ready Python Data Analytics. Developer with Certification and Live Projects.

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Course Objective

Syllabus Detail

Python Data Analytics Course Fees

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Objective of Python Data Analytics Course

You'll gain a thorough understanding of Python programming and how to combine it with scientific computing modules and tools to conduct data analysis.

Additionally, you will have lifelong access to more than 100 example Python code notebooks, new and updated videos, and future additions of other data analysis projects that you can use to build a portfolio to present to potential employers.

What you will Learn:

Have a basic understanding of Python programming.

Make use of the Jupyter Notebook Environment.

To generate and work with arrays, use the numpy library.

To produce and structure data, use the pandas package with Python.

Become familiar with working with JSON, HTML, and MS Excel worksheets as well as other data types in Python.

Use the Python seaborn and matplotlib libraries to create data visualisations.

assemble a portfolio of several initiatives including data analysis.

Python Data Analytics Training Courses with Certificate and Placement in Vadodara

Syllabus Python with Data Analytics

Python Introduction

Python Basics Overview
Python Data Types
Numbers and Variables
Strings
Lists
Dictionaries

Tuples, Sets, and Booleans
Comparison and Logical Operators
If Elif and Else Statements in Python
While Loops and For Loops in Python
Functions in Python
Hints and Help for Function Tasks

Introduction to Machine Learning

Applications of Machine Learning
Supervised vs Unsupervised Learning
Python libraries suitable for Machine Learning

Setup

Installation Setup and Overview
IDEs and Course Resources
iPython/Jupyter Notebook Overview

Importing Datasets

Learning Objectives
Understanding the Domain
Understanding the Dataset
Python package for data science
Importing and Exporting Data in Python
Basic Insights from Datasets

Cleaning and Preparing the Data

Identify and Handle Missing Values
Data Formatting
Data Normalization Sets
Binning
Indicator variables

Summarizing the Data Frame

Descriptive Statistics
Basic of Grouping
ANOVA
Correlation
More on Correlation

Model Development

Simple and Multiple Linear Regression
Model Evaluation Using Visualization
Polynomial Regression and Pipelines
R-squared and MSE for In-Sample Evaluation
Prediction and Decision Making

Model Evaluation

Model Evaluation
Over-fitting, Under-fitting and Model Selection
Ridge Regression
Grid Search
Model Refinement

Live Project

After completing this course, you will:

Have a working knowledge of Python programming.

Be able to use Python and Numpy to generate and modify arrays.

Be familiar with how to construct and analyse data sets using pandas.

Be able to generate stunning data visualisations using the matplotlib and seaborn libraries.

Python Data Analytics Course Fees

The Python Data Analytics Training Course fees are starting from Rs. 5,000/- and vary up to Rs. 20,000/- according to personal training, group training, online/offline course, placement laid training, live project-based training, and many more.

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