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Python Data Science Course

76,533 Ratings

Master Data Science with Python by working on real-world case studies and projects through our Python Data Science Course in just 2 months!

  • Learn Python Data Science from top Industry Experts
  • Master Python Data Science by working on various Python libraries, such as SciPy, NumPy, Matplotlib, Lambda functions, and more
  • Get Certified by IBM
  • Upon completion, get industry-recognized certification in Python Data Science course.

Ranked #1 Data Science Program by India TV

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Key Highlights

50 Hrs Live sessions across 2 months
60 Hrs Project & Exercises
Learn from Top Industry Practitioners
1:1 with Industry Mentors
Resume Preparation and LinkedIn Profile Review
24*7 Support
No Cost EMI Option
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Python Data Science Course Overview

What will you learn in this course?

  1. Introduction to Python for Data Science
  2. OOP concepts, expressions, and functions
  3. What is SQLite in Python? Operations and classes
  4. Real-world Python Data Science projects
  • BI Managers and Project Managers
  • Software Developers and ETL Professionals
  • Analytics Professionals
  • Big Data Professionals
  • Anyone with interst in learning Data Science using Python

You don’t need any specific knowledge for this Data Science with Python Course. A basic knowledge of programming can help.

  • Its design and libraries provide 10 times more productivity compared to C, C++, or Java.
  • A senior Python developer in the United States can earn US$102,000/year (Indeed).

It is one of the best programming languages that is used in data science. Intellipaat offers a definitive online program for learning Python coding and running it on various systems such as Windows, Linux, and Mac, which makes it one of the highly versatile languages for the domain of data analytics. Upon the completion of this Data Science with Python Course, you will be able to get the best jobs in the data science domain at top salaries.

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Data Scientist: The Sexiest Job of the 21st Century - Harvard Business Review
Data really powers everything that we do. - By Jeff Weiner, CEO of LinkedIn

Python Data Science Career Transition

55% Average Salary Hike

$1,20,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Python Data Science Mentors

Skills Covered

Python

Data Science

Data Analysis

Data Wrangling

Machine Learning

Prediction algorithms

Model

Data visualization

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Tools Covered

python jupyter Scipy numpy pandas matplotlib
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Python Data Science Course Program Fees

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50 Hrs+ Live sessions of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
30 Mar

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

02 Apr

TUE - FRI

07:00 AM TO 09:00 AM IST (GMT +5:30)

07 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

13 Apr

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$1,229 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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Data Science with Python Course Curriculum

Live Course

Module 1 – Introduction to Python and IDEs

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The basics of the Python programming language, how you can use various IDEs for Python development like Jupyter, Pycharm, etc.

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Module 2 – Python Basics

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Variables, Data Types, Loops, Conditional Statements, functions, decorators, lambda functions, file handling, exception handling ,etc.

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Introduction to OOPs concepts like classes, objects, inheritance, abstraction, polymorphism, encapsulation, etc.

Hands-on Sessions And Assignments for Practice – The culmination of all the above concepts with real-world problem statements for better understanding.

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  • NumPy Arrays, CRUD Operations, etc.
  • Linear Algebra – Matrix multiplication, CRUD operations, Inverse, Transpose, Rank, Determinant of a matrix, Scalars, Vectors, Matrices.
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  • Loading the data, data frames, series, CRUD operations, splitting the data, etc.
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  • Exploratory Data Analysis, Feature engineering, Feature scaling, Normalization, standardization, etc.
  • Null Value Imputations, Outliers Analysis and Handling, VIF, Bias-variance trade-off, cross-validation techniques, train-test split, etc.
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  • Bar charts, scatter plots, count plots, line plots, pie charts, donut charts, etc. with Python matplotlib.
  • Regression plots, categorical plots, area plots, etc, with Python seaborn.
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The Data Science capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals: 

  • Extracting, loading and transforming data into usable format to gather insights. 
  • Data manipulation and handling to pre-process the data.
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Housing – This real estate case study will guide you towards real world problems, where a culmination of multiple features will guide you towards creating a predictive model to predict housing prices.

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  • Job Search Strategy
  • Resume Building
  • Linkedin Profile Creation
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Python Data Science Course Projects

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

class-notifications
Hackathons
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Data Science with Python Certification

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Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Intellipaat.

How can I get Python Data Science Certification?

To get the Data Science and AI certification, you are required to successfully complete all the assignments, and projects work provided as part of this program. You will be mentored by experienced faculties and learn through from them in live classes.

Yes. Intellipaat’s Python Data Science Certification is totally worth it. Data science is one of the most sought-after career opportunities today, and it is the most popular language that is used in the IT industry for coding and software development purposes.

Once you complete the Data Science Python Course program from Intellipaat and clear the examination, you will receive the certificate through our LMS which has lifetime validity and is well-recognized by leading organizations across the world.

You will receive Intellipaat’s data science Python Course Certificate once you complete the program with us and clear the exam with the help of our Learning Management System. After passing the exam conducted by Intellipaat, you will get access to downloading your Data Science Python Course completion certificate from the LMS, and you can share it with your potential employers through email or LinkedIn.

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Python Data Science Course FAQs

What is Python for Data Science?

It is an open-source, high-level, interpreted programming language that offers an excellent approach to object-oriented programming. It is one of the most popular languages used by data scientists for a variety of projects and applications. This programming language has a lot of features for dealing with arithmetic, statistics, and scientific functions, which will be helpful for data science-related tasks.

This language has always been a highly preferred choice of data scientists due to its well-known features such as simplicity, scalability, numerous libraries, and large community, among other things. It offers hundreds of libraries and frameworks, most of which are focused on data analytics, data visualizations, machine learning, and many more, making it ideal for data science projects. Moreover, Python programs can easily replace the entire solution and save a lot of manual work.

When it comes to data science projects, either Python or R are the best options. However, if you want to explore further in the machine learning and artificial intelligence fields, Python is the way to go. It is a strong and adaptable programming language that programmers use to accomplish a wide range of computer science tasks. Moreover, the scope of Python is comparatively larger than that of the R programming language.

Our Python for Data Science Training is led by experienced faculties and will give you skills to master one of the best programming languages. In this online course, you will learn about basic and advanced concepts, including MapReduce, machine learning, Hadoop streaming, etc., as well as packages such as Scikit and SciPy. You will be awarded a certificate after successfully completing this training.

As part of this online Data Science with Python Course, you will be working on real-time projects that have high relevance in the corporate world, and the curriculum is designed by industry experts. Upon completion of the Data Science with Python Course Certification, you can apply for some of the best jobs in top MNCs around the world at top salaries.

You will receive lifetime access to videos, study materials, 24/7 support, and learning materials that upgrade to the latest version at no extra fee. It is a one-time investment.

Intellipaat offers both free and paid resources for learning Python for Data Science. They have a range of tutorials, articles, and videos that are freely accessible. These materials cover essential concepts like data manipulation, visualization, and machine learning. They provide a solid foundation for mastering Python in the context of data science, which is ideal for beginners.

Yes, Intellipaat publishes various blogs on Data Science and Python. Among them, the major ones are Python for Data Science Tutorials, Data Science Interview Questions, and Python Interview Questions.

At Intellipaat, you need not worry about missing a class. In the LMS, we provide recorded videos of each session so that learners can refer to them at any time. Our support team will also be available to assist you with any such concerns. So, if you miss any sessions, simply contact the support team. They will schedule an extra class for Python Training and one-on-one meetings with your trainers to let you catch up.

Yes. This course does include one practice test that is created with the latest market trends and the actual examination syllabus in mind. This training also includes a sample test designed to help you prepare for the exam by providing you with an idea of the type of questions and the format in which they will be asked.

Intellipaat selects subject matter experts from top MNCs, who have at least 8 to 12 years of experience in the domain, as instructors. They are qualified data science instructors and are selected after going through our rigorous selection process and proving their capabilities.

Intellipaat provides various group offers and discounts for its online learning program as per the size and type of the particular group. If you wish to avail of the discount, you need to get in touch with our course advisors, who will explain to you all the details regarding it.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat provides placement assistance to all learners who have successfully completed the training and moved to the placement pool after clearing the PRT( Placement Readiness Test) More than 500+ top MNC’s and startups hire Intellipaat learners. Our Alumni works with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Apparently, no. Our job assistance is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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