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Data Science with Python Institute Key Features

42 Hrs Instructor Led Training
24 Hrs Self-paced Videos
50 Hrs Project & Exercises
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support

Data Science with Python Training Overview

Mastering Python involves a lot of skills such as exception handling, Matplotlib, NumPy, Lambda function, Python data types, and many other advanced concepts, which you will get to learn from our expert instructors through this Python training in online/offline mode.

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Data Science with Python Syllabus

Live Course

1.1 Introduction to Python Language
1.2 Features, the advantages of Python over other programming languages
1.3 Python installation – Windows, Mac & Linux distribution for Anaconda Python
1.4 Deploying Python IDE
1.5 Basic Python commands, data types, variables, keywords and more

Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac.

2.1 Built-in data types in Python
2.2 Learn classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
2.3 Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
2.4 Loop and control statements while, for, if, break, else, continue.

Hands-on Exercise –
1. Write your first Python program
2. Write a Python Function (with and without parameters)
3. Use Lambda expression
4. Write a class
5. Create a member function and a variable
6. create an object
7. Write a for loop

3.1 How to write OOP concepts program in Python
3.2 Connecting to a database
3.3 Classes and objects in Python
3.4 OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
3.5 Python functions, return types and parameters
3.6 Lambda expressions

Hands-on Exercise –
1. Creating an application which helps to check balance, deposit money and withdraw the money using the concepts of OOPS.

4.1 Understanding the Database, need of database
4.2 Installing MySQL on windows
4.3 Understanding Database connection using Python.

Hands-on Exercise – Demo on Database Connection using python and pulling the data.

5.1 Introduction to arrays and matrices
5.2 Broadcasting of array math, indexing of array
5.3 Standard deviation, conditional probability, correlation and covariance.

Hands-on Exercise –
1. How to import NumPy module
2. Creating array using ND-array
3. Calculating standard deviation on array of numbers
4. Calculating correlation between two variables.

Data Science with Python Projects

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Data Science with Python Certification

FAQ : Data Science with Python Institute

No such prerequisite, however a basic knowledge of the subject is preferable.

Generally, the average training duration is 2 hours daily. Although if someone wants a half-day or full-day fast track course these are also available.

Yes, the study material is included in the course. IT DESK provides you the exercise books and a multicolor reference guide which helps to revise the whole software anytime.

The certificate shall be provided in both digital and physical form once you complete the training. The certificate shall be displayed in your login after you complete the training. You can collect the physical certificate from the center.

Cad desk is a pioneer in CS/IT training and most industries and Universities/colleges recognize its certificate by reputation.

This is lifetime access to your login and all its benefits.

Definitely, IT DESK being the leader in Computer Science, receives many openings on day to day basis, and registered students shall be able to access that information.