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Experience the new way of learning  Data Science Using Python

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Data Science

What Will You Learn - Curriculum

1. Introduction to Python
a. What is Python?
b. Where and how it is used?
c. Why Python over others?
d. Flavors of Python
e. Version 3.x

2. Installation & Environment Setup
a. Introduction to PYPI
b. Introduction to Pep8
c. Introduction to IDE
d. (Jupiter-notebook/Pycharm)

3. Datatypes & it’s methods
a. numbers

4. Program Flow Control

5. Functions
a. In built functions
b. Function definition & function calls
i. int
ii. float
iii. complex
i. for
ii. while
b. string
c. bool
d. tuple
e. list
f. set
g. dict
a. Branching statements
i. if
ii. elif ladder
iii. else
b. Loops
c. Positional Arguments
d. Default ArgumentsNumber of arguments
e. Keyword arguments
f. Anonymous function

6. Generators
a. What is generator?
b. Implementing generator
c. Advantages of generator

7. Decorators
a. What is decorators?
b. Implementing Decorators
c. Advanatages of decorator

8. Modules & Packages
a. What is a module?
b. How to use Builtin modules?
c. How to create user defined modules?
d. How to use Third party modules?

9. Object Oriented Paradigms
a. What is a class?
b. What is an object?
c. How to a create class & its objects??
d. Pillars of OOP
i. Encapsulation
ii. Inheritance
iii. Polymorphism
iv. Abstratction

10. Exception Handling
a. What is an error?
b. What is an Exception?
c. How to handle it?

11. File Handling
a. Introduction to file system
b. How to create a file?

12. Database
a. Intro to database
b. Advantages of database
c. What is MySql?
d. What is SQL?
e. Database connectivity in Python
f. Performing CRUD operations

13. Logging
a. Error logging
b. Logging user activities
c. Different modes to create a file system
d. Different formats of file system

14. Regular Expressions
a. Introduction to regular expressions
b. Implementing RegEx

15. JSON

a. What is JSON?
b. Adavantages of using JSON
c. Implementing JSON

16. Cron Jobs

a. Introduction to System Automation
b. Setting up CRON Jobs

17. ORM (Object Relational Mapping)

a. Introduction to ORM
b. Advantages of using ORM
c. Implementing ORM


18. Unit Testing
a. What is unit Testing?
b. Implementing unit testing

1. Introduction to Data Science
a. What is Data Science
b. What does data science involves
c. Life cycle of Data Science
d. Tools of Data Science

2.Python environment Setup and Essentials
a. Introduction to python tools for Data Science
b. Software installation

3. Mathematical Computing with Python
a. Introduction to Numpy
b. Introduction to numpy arrays
c. How to Access Array Elements?
d. Indexing, Slicing, Iteration, Indexing with
Boolean Arrays
e. Dealing with Flat files using numpy
f. Mathematical functions
g. Statistical functions (mean, median, average,
standard deviation)
h. Operations with arrays

4. Data Manipulation with Pandas
a. Introduction to Pandas
b. Defining data structures
c. Understanding Dataframes
d. Importing Data from various sources
e. (Csv, txt, excel etc)
f. Handling Missing valuesData Operations
g. File read operations
h. Descriptive statistics

5. Data Visualization using Matplotlib
a. Create plots like scatter plot, histogram,
bar graph, pie chart using Matplotlib
b. Grids, axes, plots Markers, colour, fonts and

6. Machine learning using scikit-learn
a. Machine learning Process Life cycle
b. Machine learning categories
c. Feature selection and extraction in
machine learning
d. Supervised learning algorithms
e. Regression
f. Simple linear Regression
g. Applications of linear regression
h. Building regression models using python
i. Process to implement linear regression
j. Coefficient of determination (R- Squared)
k. Accuracy of model

l. Multiple linear Regression
m. Classification
n. Logistic Regression

o. Building Logistic Regression Model
p. Understanding standard model metrics
q. Validation of Logistic Regression Models
r. Standard Business Outputs
s. Decision Tree
t. Random Forest
u. Support Vector Machines
v. K – NN
w. Naïve Bayes classifier
x. Model evaluation techniques –
concepts of confusion matrix,
y. threshold evaluation with ROCR
z. Unsupervised machine learning algorithms
aa. K-Means Clustering
bb. Hierarchical Clustering

7. Web Scraping in Python
a. Parsing HTML and XML
b. Navigating the document
c. Handling CSV files
d. Parsing JSON into Python

Note : For Detailed Syllabus Download our course brochure*

Key Highlights in Data Science Course

100% Job Assurance

Personalized Career Coach

80% Practical Training

Study App/Material

Capstone Projects

Weekend Test/Mocks

Industry Expert Trainers

Certificate of Completion

Spotlight on Success: Recent Placements

Empowering Dreams, One Job at a Time


Rahul Khartude
Rahul Khartude
Java Devloper
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I joined IT Shaala in java full stack batch. Great platform to learn IT skills with super and deep knowledgeble mentors like Sandeep sir, Pragati mam. They asked dought each and every student.friendly nature in each and every session. They gave more knowledge in minimal fees. I would recommend best platform to learn innovative and quality IT training . IT Shaala is the best institute in Pune😊
Adarsh Bhosale
Adarsh Bhosale
Java Devloper
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I enrolled in the Java Full Stack course at IT Shaala, and I must say, it's been an outstanding experience so far. Sandeep Sir's teaching methodology is top-notch; he has a knack for breaking down complex Java concepts into digestible pieces, making the learning process smooth and enjoyable. Additionally, the support from the non-teaching staff has been exemplary, always ready to assist with any queries or concerns. I highly recommend this course to anyone looking to delve into the world of Java Full Stack development.
Komal Kale
Komal KaleJava Devloper
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The instructors at IT SHALA are undoubtedly experts in their field. They were not only knowledgeable but also adept at conveying complex concepts in a clear and understandable manner. The curriculum was comprehensive, covering all the essential topics relevant to the course , and the hands-on practical sessions were particularly beneficial in reinforcing theoretical knowledge. They also conduct soft skills sessions which are very helpful while placements.
Kishor Pol
Kishor Pol
Software Developer @Infosys
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Had a fantastic learning experience at ITshaala, one of the top institutes for Backend Developer training. The institute offers excellent training and top-notch infrastructure. Special thanks to Sandeep sir for providing invaluable guidance. His effective teaching methods and real-world examples made learning a breeze. Thanks to ITshaala, I've been able to shape my career as an IT professional. Grateful for the support that made my IT journey possible. If you aspire to have a successful IT career, IT Shaala is the right choice.
Swapnil Mane
Swapnil Mane
@Software Developer
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Sandeep Sir is the Best Trainer ever ; Because I'm the Non - CS Student I Aware of These coding Skills But When I meet to Sandeep Sir He teaches Coding literally From Scratch. Cover all the Basics and Advanced Concepts . Highly Recommended...,
Tejal Wasaikar
Tejal Wasaikar
@Java Developer
Read More
"Mr. Sandeep has been a amazing trainer . I have learning Java from him from last 4 months . I am from a non technical background so it was very difficult for me to understand all the technical terms , but he made learning Java easier with his teaching skills and abundant knowledge. "

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Practical assignments are given at the end of each lesson.
A hands-on learning experience with a real-world project.
Individual practice interviews
Case studies in real time for practice
Job placement support with job notification till you acquire your first job Certificate of completion
Your inquiries will be answered at all times.

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Python Certified Data Scientist Certified Analytics Professional (CAP) Applied AI with Deep Learning Data Science for Python Certification in Pune.

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