Data Science with Python

Data Science with Python

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Course Description

The Data Science with Python course teaches you how to use Python to grasp data science. You’ll use Python libraries like SciPy, NumPy, Matplotlib, and Lambda functions, among others. Real-world projects in retail, e-commerce, banking, and other sectors will help you master Data Science Analytics abilities.

Why should one choose this course?

In India, a Data Scientist earn approximately 6.5 LPA on an average. It can go up to 20 LPA for experts who gain a lot of experience and skill.

In current data world, Data Scientists are in high demand. Data Science’s findings are already making an impact in our daily lives. Take the Internet for example; there are more websites than one can fathom – a single Google search yields 1 billion results, which is a staggering statistic. When you use Google to search for something, a data scientist is sifting through the 1 billion websites in the background to get you the information you need.

Companies have a lot of information. That won’t help if corporations don’t engage data scientists to examine the data and provide actionable insights.
After learning all the concepts provided in this programme you will be able to think like Data Scientist, solve complex real-world problems and provide best solutions to company

What is the scope of this course?

Businesses and enterprises collect data on a daily basis for transactions and online interactions. Many businesses have the same problem: analysing and categorising the data they collect and store. In a case like this, a data scientist becomes the saviour. Companies can make significant progress if data is handled properly and efficiently, resulting in increased production.

Data science is a vast professional path that is always evolving, promising a plethora of options in the future. Job responsibilities in data science are projected to become more specialised, leading to specialties in the subject. People who are interested in this field can take advantage of their opportunities and pursue what best suits them by using these standards and specialities.

Course Structure

Introduction of Statistics
Types of Statistics
Types of variables
Levels of Measurements
Construction of frequency polygon
Constructing frequency table
Plotting histogram
Concept of population and sample
Measures of central tendency
Measures of dispersion
Measures of position
Probability concepts
Discrete probability distribution
Continuous probability distribution
Central limit theorem
Sampling methods
Estimation and confidence interval
Hypothesis testing
Types of Error
Analysis of Variance

Introduction to Python Installation Python Anaconda Basic Python Variables Variables Assignment Strings List & List as Stack Dictionary Tuples Sets & Frozen Sets Operators Conditional Statements Loops Functions and Methods Error Handling
Libraries in Python – Pandas Scikit Learn Numpy MatplotLib
Reading and Writing files

Classification techniques
Time Series Forecasting

Terminologies – Records, Fields, Tables, Introduction to database
Concept of ER Modelling
Relational Algebra: The fundamental operations of relational algebra are as follows −
Set different
Cartesian product
Introduction to SQL, SQL Syntax, SQL data Types, SQL Operators, Table creation in SQL- Create, Insert, Drop, Delete, and Update, Table access & Manipulation, Select with Where Clause (In between, logical, operators, wild cards, order, group by), Concepts of Join – Inner, Outer

Ridge and Lasso regression
Principle Component Analysis (PCA)
Gradient Boosting


Introduction, Natural language processing, Natural language processing, Text clustering, Topic modelling, Document summarization,  Sentiment analysis, Text visualization

Introduction to deep learning, Neural Networks Basics, Shallow neural networks, Deep Neural Networks

1.Understanding the project topic

2.Research about the project

3.Constructing the project using R programming

4.Step by step building of project

5.Mentoring sessions for the project

6.Final product

Course Duration

40Hrs Technical + 15Hrs Soft skills

Entry Level
Starting salary is Rs. 6.5 LPA

Approx. Rs. 7.5 LPA

Expert Level
approx. in the range of Rs. 10 LPA – Rs. 20 LPA
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Are you ready to take the next step toward your future career?

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