Data Analysis with Python

In this course, you will learn about data analysis using python libraries such as Numpy, Pandas, Matplotlib, and seaborn. prerequisite for this course is basic python programming. After completing this course, you can perform Exploratory Data Analysis of data with visualization.

Data is new Fuel. Analyzing data is necessary as this makes the decision-making process easy and fast. This course contains four major modules which include python libraries such as Numpy, Pandas, Matplolib, and Seaborn.

Modules
3

Duration
30 Hours

Register By
August 31st 2023

Modes
Classroom Teaching, Online,

Course Fee :

Classroom Teaching

5000 /- INR

Live Online Classes

5000 /- INR

Industry Oriented Curriculum

An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company

2

Case Studies

2

Assignments

4

Quizes

4

Tools

1

Capstone Projects

Enroll nowor Download Syllabus

What you will learn from this course :

Upon completion of Data Analysis using Python Training, learners will be able to:

  1. Clean, manipulate and prepare data for analysis using Python libraries such as Pandas, Numpy and Matplotlib.

  2. Visualize data using various visualization techniques, such as histograms, scatter plots, and bar charts.

  3. Use statistical methods to analyze data, including descriptive statistics, hypothesis testing, and regression analysis.

  4. Extract meaningful insights from data and communicate findings effectively.

  5. Use machine learning algorithms such as linear regression, decision trees and k-means clustering for predictive analysis.

  6. Familiarize themselves with the tools and techniques for working with large datasets.

  7. Apply their data analysis skills to real-world problems and make data-driven decisions.

The training will aim to provide hands-on experience through practical exercises, examples, and projects.

Data Analysis with Python with Curriculum

Prerequisites for this course

A list of topics that are good to have before you hit the ground running with this course

Numpy

10 Hrs

  • Creation of numpy array 

  • Built-in functions and properties of num py array

  • Slicing and indexing

  • Masking and broadcasting operations

  • Aggregate Functions

  • Vectorization

Pandas

10 Hrs

  • Series

  • Data Frame

  • Data Frame properties

  • Data Frame indexing and slicing

  • Reading data from various sources

  • Dataframe functions

  • Pandas functions

  • Filter Data

Visualization libraries (matplotlib/seaborn)

10 Hrs

  • Introduction to Matplotlib and Seaborn

  • Properties of plots

  • Line plot

  • Histogram / Dist plot

  • Bar plot / Count Plot

  • Pie chart

  • Heat map

  • Scatter plot

  • Box Plot

System Requirments

Common system requirments that you will need to have before moving ahead with this course

  • Atleast 4GB RAM
  • Stable Internet Connection
  • OS : Linux / Windows / Mac

On Completion

On Successfull Completion of
Traning on

Data Analysis with Python

Trainee will get 2 Certificates:

1. “Certificate of Achievement”
2. “Certificate of Internship”

Note : Internship Certificate will be awarded only after Successfull Completion of Capstone Projects

Data Analysis with Python