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Data Science with Python Training in Gurgaon

With Intellipaat’s Python Data Science course in Gurgaon, you will have an immersive learning experience because of its round-the-clock support and various projects. Our seasoned instructors will guide you in your career path to become a Data Scientist with Python skills, which include the OOP paradigm, Matplotlib, factor analysis, t-SNE, etc. So, enroll for the best Data Science with Python Course in Gurgaon created by experts.

Key Features

39 Hrs Instructor-led Training
24 Hrs Self-paced Videos
50 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance

Course Benefits

4.9/5 Student Satisfaction Rating
Students Transitioned for Higher Positions
Started a New Career After Completing Our Courses
Got Better Salary Hike and Promotion
Average Salary Per Year $16983
Associate Data Scientist
Data Scientist
Chief Data Scientist
$12053 Starting
$16983 Median
$50651 Experienced
Companies Hiring Python Data Science Professionals
intellipaat-image intellipaat-image
intellipaat-image intellipaat-image
And 1,000+ Global Companies

Python Data Science Course in Gurgaon Overview

In this Data Science with Python training in Gurgaon, you will need to learn about Machine Learning, the ARIMA model, the AR model, the ARMA model, and the working knowledge of other advanced concepts that are all covered in this online course.

What will the curriculum cover in this Python for Data Science training in Gurgaon?

In this Data Science with Python Course in Gurgaon online, you will learn about

  • Python with applications in Data Science
  • SQLite operations and classes
  • MapReduce programming with Python
  • Time series forecasting
  • OOP concepts
  • Expressions and functions
  • Python integration with Spark
  • Hive UDFs
  • Pig UDFs

As part of the program, Intellipaat also ensures to provide complete hands-on experience through real Data Science projects.

Data Science, as you might already know, has been highly in demand and is one of the top-paying careers. If you are aspiring to become a Data Scientist, then this Python for Data Science course in Gurgaon is your stepping stone to success.

  • Over 120 Data Science and Python Developer jobs are available in Gurgaon, Haryana – Indeed
  • On average, a Data Scientist with Python skills in Gurgaon earn about ₹1,066,000 per year – PayScale
  • In most countries, Data Science skills are high on the priority lists among organizations – PC World

A basic understanding of programming will help you, but Intellipaat does not mandate it as a prerequisite for this Data Science with Python training in Gurgaon.

Intellipaat Data Science with Python training in Gurgaon is suitable for

  • ETL experts
  • Big Data professionals
  • BI Managers
  • Analytics professionals
  • Project Managers
  • Software Developers 

You can also register for this online program if you are aspiring to be a Data Scientist with skills in Python.

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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

Skills Covered

  • Probability & Statistics
  • Machine Learning
  • Programming
  • Data Manipulation
  • Data Visualization with Matplotlib
  • OOPS in Python
  • Dimensionality Reduction
  • Time Series Forecasting
  • Python integration with Spark
  • Pandas numpy & scikit-Learn)
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Fees

Self Paced Training

  • 24 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$176

Online Classroom preferred

  • Everything in self-paced, plus
  • 39 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 24 Oct
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 01 Nov
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 03 Nov
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
  • 07 Nov
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$281 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise-grade Learning Management System (LMS)
  • 24x7 Support
  • Strong Reporting

Python Data Science Course Content

Module 01 - Introduction to Data Science using Python Preview

1.1 What is Data Science, what does a data scientist do
1.2 Various examples of Data Science in the industries
1.3 How Python is deployed for Data Science applications
1.4 Various steps in Data Science process like data wrangling, data exploration and selecting the model.
1.5 Introduction to Python programming language
1.6 Important Python features, how is Python different from other programming languages
1.7 Python installation, Anaconda Python distribution for Windows, Linux and Mac
1.8 How to run a sample Python script, Python IDE working mechanism
1.9 Running some Python basic commands
1.10 Python variables, data types and keywords.

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

Module 02 - Python basic constructs

2.1 Introduction to a basic construct in Python
2.2 Understanding indentation like tabs and spaces
2.3 Python built-in data types
2.4 Basic operators in Python
2.5 Loop and control statements like break, if, for, continue, else, range() and more.

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 and write a for loop to print all odd numbers

3.1 Central Tendency
3.2 Variabiltiy
3.3 Hypothesis Testing
3.4 Anova
3.5 Correlation
3.6 Regression
3.7 Probability Definitions and Notation
3.8 Joint Probabilities
3.9 The Sum Rule, Conditional Probability, and the Product Rule
3.10 Baye’s Theorem

Hands-on Exercise –
1. We will analyze both categorical data and quantitative data
2. Focusing on specific case studies to help solidify the week’s statistical concepts

4.1 Understanding the OOP paradigm like encapsulation, inheritance, polymorphism and abstraction
4.2 What are access modifiers, instances, class members
4.3 Classes and objects
4.4 Function parameter and return type functions
4.5 Lambda expressions.

Hands-on Exercise –
1. Writing a Python program and incorporating the OOP concepts

5.1 Introduction to mathematical computing in Python
5.2 What are arrays and matrices, array indexing, array math, Inspecting a numpy array, Numpy array manipulation

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

6.1 Introduction to scipy, building on top of numpy
6.2 What are the characteristics of scipy
6.3 Various subpackages for scipy like Signal, Integrate, Fftpack, Cluster, Optimize, Stats and more, Bayes Theorem with scipy.

Hands-on Exercise:
1. Importing of scipy
2. Applying the Bayes theorem on the given dataset.

7.1 What is a data Manipulation. Using Pandas library
7.2 Numpy dependency of Pandas library
7.3 Series object in pandas
7.4 Dataframe in Pandas
7.5 Loading and handling data with Pandas
7.6 How to merge data objects
7.7 Concatenation and various types of joins on data objects, exploring dataset

Hands-on Exercise –
1. Doing data manipulation with Pandas by handling tabular datasets that includes variable types like float, integer, double and others.
2. Cleaning dataset, Manipulating dataset, Visualizing dataset

8.1 Introduction to Matplotlib
8.2 Using Matplotlib for plotting graphs and charts like Scatter, Bar, Pie, Line, Histogram and more
8.3 Matplotlib API

Hands-on Exercise –
1. Deploying Matplotlib for creating pie, scatter, line and histogram.
2. Subplots and Pandas built-in data visualization.

9.1 Revision of topics in Python (Pandas, Matplotlib, numpy, scikit-Learn)
9.2 Introduction to machine learning
9.3 Need of Machine learning
9.4 Types of machine learning and workflow of Machine Learning
9.5 Uses Cases in Machine Learning, its various arlogrithms
9.6 What is supervised learning
9.7 What is Unsupervised Learning

Hands-on Exercise –
1. Demo on ML algorithms

10.1 What is linear regression
10.2 Step by step calculation of Linear Regression
10.3 Linear regression in Python
10.4 Logistic Regression
10.5 What is classification
10.6 Decision Tree, Confusion Matrix, Random Forest, Naïve Bayes classifier (Self paced), Support Vector Machine(self paced), xgboost(self paced)

Hands-on Exercise – Using Python library Scikit-Learn for coming up with Random Forest algorithm to implement supervised learning.

11.1 Introduction to unsupervised learning
11.2 Use cases of unsupervised learning
11.3 What is clustering
11.4 Types of clustering(self-paced)-Exclusive clustering, Overlapping Clustering, Hierarchical Clustering(self-paced)
11.5 What is K-means clustering
11.6 Step by step calculation of k-means algorithm
11.7 Association Rule Mining(self-paced), Market Basket Analysis(self-paced), Measures in association rule mining(self-paced)-support, confidence, lift
11.8 Apriori Algorithm

Hands-on Exercise –
1. Setting up the Jupyter notebook environment
2. Loading of a dataset in Jupyter
3. Algorithms in Scikit-Learn package for performing Machine Learning techniques and training a model to search a grid.
4. Practice on k-means using Scikit
5. Practice on Apriori

12.1 Introduction to pyspark
12.2 Who uses pyspark, need of spark with python
12.3 Pyspark installation
12.4 Pyspark fundamentals
12.5 Advantage over mapreduce, pyspark
12.6 Use-cases pyspark  and demo.

Hands-on Exercise:
1. Demonstrating Loops and Conditional Statements
2. Tuple – related operations, properties, list, etc.
3. List – operations, related properties
4. Set – properties, associated operations, dictionary – operations, related properties.

13.1 Introduction to Dimensionality
13.2 Why Dimensionality Reduction
13.3 PCA
13.4 Factor Analysis
13.5 LDA

Hands-on Exercise –
Practice Dimensionality reduction Techniques : PCA, Factor Analysis, t-SNE, Random Forest, Forward and Backward feature

14.1 White Noise
14.2 AR model
14.3 MA model
14.4 ARMA model
14.5 ARIMA model
14.6 Stationarity
14.7 ACF & PACF

Hands-on Exercise –
1. Create AR model
2. Create MA model
3. Create ARMA model

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39
Hours of Instructor-led Training
24
Hours of Self-paced Videos
7
Guided Projects to Practice
24/7
Lifetime Technical Support

Free Career Counselling

Data Science with Python Projects

Analyzing the Trends of COVID-19 With Python

In this project, you will use Pandas to accumulate data from multiple data files, Plotly (visualization library) to create interactive visualizations, and Facebook’s Prophet library to make time series models. You will also be visualizing the prediction by combining these technologies.

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Analyzing the Naming Trends Using Python

In this project, you will use Python Programming and Algorithms to understand the applications of data manipulation, extract files with useful data only, and concepts of data visualization. You will be required to analyze baby names by sorting out the top 100 birth counts.

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Performing Analysis on Customer Churn Dataset

Through this project, you will be analyzing employment reliability in the telecom industry. The project will require you to work on real-time analysis of data with multiple labels, data visualization for reliability factor, visual analysis of various columns to verify, and plotting charts to substantiate the findings in total.

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Netflix-Recommendation System

Analysis of movies dataset and recommendation of movies with respect to ratings. You will be working with the combined data of movies and their ratings, performing data analysis on various labels in the data, finding the distribution of different ratings in the dataset, and training the SVD for the prediction of the model.

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Python Web Scraping for Data Science

In this project, you will learn web scraping using Python. You will work on Beautiful Soup, web scraping libraries, common data and page format on the web, the important kinds of objects, Navigable String, the searching tree deployment, navigation options, parser, search tree, searching by CSS class, list, function, and keyword argument.

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OOPS in Python

Creating multiple methods using OOPS. You will work on methods like “check_balance’ to check the remaining balance in an account, “withdraw” to withdraw from the bank, find the distribution of different ratings in the dataset, and override the “withdraw” to ensure that the minimum balance is maintained. You will also work with Parameterization and Classes.

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Working With NumPy

In this case study, you will be working with the NumPy library to solve various problems in Python. You will create 2D arrays, initialize a NumPy array of 5*5 dimensions, and perform simple arithmetic operations on the two arrays. To carry out this case study successfully, you will have to be familiar with NumPy.

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Visualizing and Analyzing the Customer Churn dataset using Python

This case study will require you to analyze data by building aesthetic graphs to make better sense of the data. You will be working with the ggplot2 package, bar plots and its applications, histogram graphs for data analysis, and box-plots and outliers in them.

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Building Models With the Help of Machine Learning Algorithms

You will be designing tree-based models on the ‘Heart’ dataset, performing real-time data manipulation on the heart dataset, data-visualization for multiple columnar data, building a tree-based model on top of the database, and designing a probabilistic classification model on the database. You will have to be familiar with ML Algorithms.

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Python Data Science Certification

Certification

How are Intellipaat-verified certificates awarded?

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500 companies.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

This Intellipaat Python for Data Science training will give you hands-on experience in mastering one of the best programming languages that is Python. In this online Python for Data Science course, you will learn about the basic and advanced concepts of Python including MapReduce in Python, Machine Learning, Hadoop streaming and also Python packages like Scikit and Scipy. You will be awarded the Intellipaat Course Completion Certificate after successfully completing the training course.

As part of this online Data Science with Python course, you will be working on real-time Python projects that have high relevance in the corporate world and step-by-step assignments, and the curriculum is designed by industry experts. Upon the completion of the Python for Data Science certification, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fees. Hence, it is clearly a one-time investment.

Python Data Science Course Reviews

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Mr Yoga

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John Chioles

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Ritesh

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Dileep & Ajay

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Sagar

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Ashok

Mujeebur Rahman

Data Analyst at Tata Consultancy Services

When I registered for Intellipaat, I was concerned that I had paid a huge amount for some training. But when the instructors were teaching each point and concept in detail, I realized that spending such a big amount was really worth. I really appreciate the way how the instructors taught the concepts. The best part which I liked is the projects which gave me hands on experience and given me huge confidence to face industry. I really learnt a lot during my training with Intellipaat.

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Payal Raheja

Sr. Python Developer at Mindfire Solutions

I loved the way Intellipaat trainers taught the Python programming language as applicable to the Data Science domain. Great work!

Alexane Hofer

Software Engineer at Accenture

I liked the dedication of the Intellipaat support team when it came to resolving my queries regardless of the time of the day. Hats off to team Intellipaat!

Adarsh Vijay

Student at RTU

Excellent course, I found Intellipaat's training team to be talented in their respective domain. My training was very good as it helped me in upgrading my skills, which proved to be a turning point in my career. Intellipaat's mentor was well-experienced and his teaching method was really great. This online course helped me to get deep understanding of the technology. Moreover, the excercise and projects provided as a part of the course made me to get hands-on experience. Besides, the online support team was very helpful and offered their assistance as and when I needed via calls and emails.

Madhuri Immaneni

Sr. Technical Support Engineer

I got very good experience with the real-time projects provided by Intellipaat. The trainer was top class. The industry experience he carries is awesome. I am more than happy with the python for data science certification course. Looking forward to learn more Intellipaat online training courses.

Sahana CP

Software Developer, Writer

I am happy that Intellipaat provides flexible scheduling of classes. They gave immense support during my classes. I am happy with the python for data science course material and instructor’s way of teaching as well. I definitely recommend this course to everyone.

Karunakara Rao P V

AGM- IT India(Infrastructure) at Siemens Gamesa

This instructor-led Python for Data Science training course is a beginner basic to advance in career. The trainer taught me all concepts from scratch. The study material really helped me to understand the subject properly. Hence, I believe this is the best data science with python course for beginners.

Sachin Bhatia

QA Engineer at NOKIA

Best training program, My decision to learn from Intellipaat was the best to upgrade my career. This course gave thorough understanding of the subject. I recently completed the course and experienced good quality teaching offered by intellipaat.

Shailja Sehgal

Software Engineer

I had one of the best learning experience at Intellipaat. The projects, assignments, and course content were awesome. I would like to enroll in other courses that are offered by intellipaat.

Himanshu Oberoi

Associate R&D Manager at Stryker

Great teaching team, All trainers and support team were very helpful and easily reachable. The course content of this program covers all the topics, from basic to advanced modules.

Shamirna Micheal

Associate Professional Application Delivery at CSC

Genuine platform for learning. I finished my course recently from Intellipaat. The trainers were excellent in teaching. Further, the course was well-structured and the lectures are really flexible. I am currently working and I still get the time to complete the course within the given time and it is mainly possible because of the 24*7 support system and the clarity of their teaching. Besides, they make us do hands-on exercises and project, making us gain in-depth knowledge of the concepts. I strongly recommend others to take this course as well.

DEVESH SINHA

Communication cell at JGEC || SPEC

Amazing course learning experience. It was a great learning experience with Intellipaat. The coursware is comprehensive, and has a variety of material like videos, PPTs, and PDFs that are neatly organized. Further, there are hands-on projects, assignments, code files for each module. And most importantly, the support I received as a learner while pursuing my course was exemplary.

Python Data Science Training FAQs

Why should I learn Python for Data Science from Intellipaat?

This Intellipaat Python for Data Science training will give you hands-on experience in mastering one of the best programming languages that is Python. In this online Python for Data Science course, you will learn about the basic and advanced concepts of Python including MapReduce in Python, Machine Learning, Hadoop streaming and also Python packages like Scikit and Scipy. You will be awarded the Intellipaat Course Completion Certificate after successfully completing the training course.

As part of this online Data Science with Python course, you will be working on real-time Python projects that have high relevance in the corporate world and step-by-step assignments, and the curriculum is designed by industry experts. Upon the completion of the Python for Data Science certification, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fees. Hence, it is clearly a one-time investment.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the 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 trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program 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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