Data Science with Python Training

Live Online & Classroom Enterprise Training

Teaches Python fundamentals for data cleaning, visualization, and predictive analytics. Covers libraries like Pandas, NumPy, Matplotlib, and Scikit-learn.

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What is Data Science with Python Training about?

This course introduces learners to the fundamentals of data science using Python, covering essential libraries, data manipulation, visualization, and machine learning basics. Participants will gain hands-on experience working with real datasets, applying analytical techniques, and building predictive models. The training is designed to bridge theory and practice, equipping learners with practical skills for data-driven decision-making.

What are the objectives of Data Science with Python Training ?

Understand Python basics for data science.
Work with key Python libraries (NumPy, Pandas, Matplotlib, Seaborn).
Perform data cleaning, transformation, and analysis.
Visualize insights using charts and graphs.
Build and evaluate simple machine learning models.

Who is Data Science with Python Training for?

Beginners aspiring to enter data science.
Students and graduates pursuing analytics careers.
Business Analysts wanting to upgrade to Python.
IT professionals transitioning into data roles.
Professionals interested in machine learning applications.

What are the prerequisites for Data Science with Python Training?

Prerequisites:

Basic programming knowledge (any language preferred).
Understanding of high school-level math & statistics.
Familiarity with data formats (CSV, Excel).
Problem-solving and analytical skills.
Interest in coding and data analysis.

Learning Path:

Introduction to Python for data science.
Data manipulation with NumPy and Pandas.
Data visualization with Matplotlib and Seaborn.
Data cleaning, preparation, and exploratory analysis.
Introduction to machine learning with Scikit-learn.

Related Courses:

Introduction to Machine Learning with Python
Data Visualization with Tableau & Power BI
SQL for Data Science
Advanced Python for Analytics

Available Training Modes

Live Online Training

5 Days

Self-Paced Training

8 Hours

Course Outline Expand All

Expand All

Module 1- Introduction to Data Science

Introduction to Data Science

Python For Data Science

Module2- Python Essentials

Basics of Python

Variables with Examples

Operators and Its Types

Control and Loop Statements

Functions and Its Types

OOPs Concepts

Types of Error and Exception Handling

Packages in Python

Module 3- Numpy

Numpy

Data Type in Numpy

Indexing and Slicing

Mathematical Function

Array Manipulation

Statistical Functions

Module 4- Pandas for Data Manipulation

Concept of Pandas

Dataframes

Data Manipulations Steps

Sorting

Filtering

Python Built-in Functions

Module 5- Matplotlib for Data Visualization

Data Visualization

Matplotlib

Matplotlib

Scatter Plot

Heat Map

Box Plot

Pie Chart

Module 6- Importing and Exporting Data Using Python

Modules

Importing Data

Module 7- Statistics

Descriptive Statistics

Descriptive Statistics

Probability Distribution

Normal Distribution

Central Limit Theorem

Central Limit Theorem

Sampling

Z-Test and T-Test

ANOVA

Chi – Square Test

Module 8- Predictive Modeling and Data Exploration

Analytics and Predictive Modelling

Import Pandas as PD

Exploring Data for Modelling

Missing Data

Outliers

Module 9- Solving Regression Problems

Basics of Regression

Types of Regression

Multiple Linear Regression

Polynomial Regression

Cost Function and Gradient Descent

Module 10- Solving Classification Problems

Basics of Classification

Decision Tree Learning

logistic Regression

Performing Logistic Regression

Support Vector Machines

K Nearest Neighbors

Native Bayes

Ensemble Learning

Module 11- Solving Clustering Problems

Clustering and Its Applications

Hierarchical Clustering

Clustering

K-Means Clustering

K-Means Clustering

Module 12- Solving Forcasting Problems - Time Series Forecasting

Time Series

Time Series

Module 13- Web Scraping with Beautiful Soup

Introduction to Web Scraping

Web Scraping

Parser

Who is the instructor for this training?

The trainer for this Data Science with Python Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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