Courses × Browse Corporate Training All Courses

Data Science Training Course in Surat

5 591 Ratings 10,847 Learners

Our Data Science course in Surat is designed by industry experts to make you skilled in the concepts of Data Science, such as data manipulation and analysis, Machine Learning, Data Science with R, classification, clustering, statistical methods, etc. Through this Data Science training in Surat, our tutors aim to get you placed in top firms, and you will receive 24/7 technical support and job assistance from us.

In collaboration with IBM
Free MS Excel Self-paced Course

Key Features

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

Career Transitions

Mahesh Chowdary
Mahesh Chowdary
Aircraft Maintenance Engineer intellipaat-image
Data Scientist intellipaat-image
Jeanette Masso
Jeanette Masso
Computer Technical Specialist intellipaat-image
Big Data Developer intellipaat-image
Prosenjeet Saha
Prosenjeet Saha
Manager Analytics & Data Science intellipaat-image
Data Scientist intellipaat-image
Nishchay Agrawal
Nishchay Agrawal
Fresher
Data Engineer intellipaat-image
Sahas Barangale
Sahas Barangale
Microsoft Dynamics Consultant intellipaat-image
Program Manager intellipaat-image
Bhawna Kaliraman
Bhawna Kaliraman
Lecturer intellipaat-image
Data Science Intern intellipaat-image

Course Benefits

5/5 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 Data Scientist Professionals
intellipaat-image intellipaat-image
intellipaat-image intellipaat-image
And 1,000+ Global Companies

Data Science Course in Surat Overview

This best Data Science training in Surat assists you to excel in the concepts of Data Science, including data acquisition, experimentation, project deployment tools, predictive analysis, Big Data Hadoop, segmentation, decision trees, random forest, and so on, through assignments and real-time projects.

What will our tutors teach you in this Data Scientist training in Surat, Gujarat?

Skilled trainers at Intellipaat will guide you to excel in the following concepts:

  • Overview of Data Science and its significance
  • Data Science life cycle
  • Data manipulation and data acquisition
  • Machine Learning and Big Data Hadoop
  • Data exploration
  • Statistics and its various types
  • Logistic regression and decision trees
  • Random forest and implementing it in R
  • Introduction to bagging

This Data Scientist training in Surat is meant for:

  • Statisticians
  • BI and Big Data professionals
  • Business Analysts
  • Aspiring graduates

Here are a few reasons to learn Data Science in Surat:

  • By 2022, the demand for data professionals is expected to rise by 28% – IBM
  • Surat has about 60+ jobs for the Data Scientist role – LinkedIn
  • In Surat, Data Scientists can earn an average of ₹280,000 per annum – PayScale

No. A basic understanding of the technology is enough to enroll in this Data Science online training brought to you by Intellipaat.

Data Scientists make decisions based on the given data and perform statistical analysis to create Machine Learning systems, while Data Analysts examine the business needs and execute the data analysis life cycle. Meanwhile, Business Analysts evaluate the historical data and analyze and report the capabilities of the business.

View More

Talk to Us

With data collection, ’the sooner the better’ is the best answer. - CEO of Yahoo
Everything is going to be connected with data and mediated by softwares. - CEO of Microsoft
The world is now awash in data and we can see consumers in a lot cleaner way. - Co-founder PayPal

Skills Covered

  • R Programming
  • Exploratory Data Analysis
  • Data Manipulation
  • Data Visualization
  • Statistics 
  • Machine Learning Algorithms
View More

Fees

Self Paced Training

  • 28 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$264

Online Classroom preferred

  • Everything in self-paced, plus
  • 42 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 07 Mar
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 09 Mar
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
  • 13 Mar
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 21 Mar
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$ 499 $399 10% OFF Expires in

Corporate Training

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

Data Science Course Content

Module 01 - Introduction to Data Science with R Preview

1.1 What is Data Science?
1.2 Significance of Data Science in today’s data-driven world, its applications of, , lifecycle, and its components
1.3 Introduction to R programming and RStudio

Hands-on Exercise:

1. Installation of RStudio
2. Implementing simple mathematical operations and logic using R operators, loops, if statements, and switch cases

Module 02 - Data Exploration

2.1 Introduction to data exploration
2.2 Importing and exporting data to/from external sources
2.3 What are data exploratory analysis and data importing?
2.4 DataFrames, working with them, accessing individual elements, vectors, factors, operators, in-built functions, conditional and looping statements, user-defined functions, and data types

Hands-on Exercise:

1. Accessing individual elements of customer churn data
2. Modifying and extracting results from the dataset using user-defined functions in R

3.1 Need for data manipulation
3.2 Introduction to the dplyr package
3.3 Selecting one or more columns with select(), filtering records on the basis of a condition with filter(), adding new columns with mutate(), sampling, and counting
3.4 Combining different functions with the pipe operator and implementing SQL-like operations with sqldf

Hands-on Exercise:

1. Implementing dplyr
2. Performing various operations for manipulating data and storing it

4.1 Introduction to visualization
4.2 Different types of graphs, the grammar of graphics, the ggplot2 package, categorical distribution with geom_bar(), numerical distribution with geom_hist(), building frequency polygons with geom_freqpoly(), and making a scatterplot with geom_pont()
4.3 Multivariate analysis with geom_boxplot
4.4 Univariate analysis with a barplot, a histogram and a density plot, and multivariate distribution
4.5 Creating barplots for categorical variables using geom_bar(), and adding themes with the theme() layer
4.6 Visualization with plotly, frequency plots with geom_freqpoly(), multivariate distribution with scatter plots and smooth lines, continuous distribution vs categorical distribution with box-plots, and sub grouping plots
4.7 Working with co-ordinates and themes to make graphs more presentable, understanding plotly and various plots, and visualization with ggvis
4.8 Geographic visualization with ggmap() and building web applications with shinyR

Hands-on Exercise:

1. Creating data visualization to understand the customer churn ratio using ggplot2 charts
2. Using plotly for importing and analyzing data
3. Visualizing tenure, monthly charges, total charges, and other individual columns using a scatter plot

5.1 Why do we need statistics?
5.2 Categories of statistics, statistical terminology, types of data, measures of central tendency, and measures of spread
5.3 Correlation and covariance, standardization and normalization, probability and the types, hypothesis testing, chi-square testing, ANOVA, normal distribution, and binary distribution

Hands-on Exercise:

1. Building a statistical analysis model that uses quantification, representations, and experimental data
2. Reviewing, analyzing, and drawing conclusions from the data

6.1 Introduction to Machine Learning
6.2 Introduction to linear regression, predictive modeling, simple linear regression vs multiple linear regression, concepts, formulas, assumptions, and residuals in Linear Regression, and building a simple linear model
6.3 Predicting results and finding the p-value and an introduction to logistic regression
6.4 Comparing linear regression with logistics regression and bivariate logistic regression with multivariate logistic regression
6.5 Confusion matrix the accuracy of a model, understanding the fit of the model, threshold evaluation with ROCR, and using qqnorm() and qqline()
6.6 Understanding the summary results with null hypothesis, F-statistic, and
building linear models with multiple independent variables

Hands-on Exercise:

1. Modeling the relationship within data using linear predictor functions
2. Implementing linear and logistics regression in R by building a model with ‘tenure’ as the dependent variable

7.1 Introduction to logistic regression
7.2 Logistic regression concepts, linear vs logistic regression, and math behind logistic regression
7.3 Detailed formulas, logit function and odds, bivariate logistic regression, and Poisson regression
7.4 Building a simple binomial model and predicting the result, making a confusion matrix for evaluating the accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR
7.5 Finding out the right threshold by building the ROC plot, cross validation, multivariate logistic regression, and building logistic models with multiple independent variables
7.6 Real-life applications of logistic regression

Hands-on Exercise:

1. Implementing predictive analytics by describing data
2. Explaining the relationship between one dependent binary variable and one or more binary variables
3. Using glm() to build a model, with ‘Churn’ as the dependent variable

8.1 What is classification? Different classification techniques
8.2 Introduction to decision trees
8.3 Algorithm for decision tree induction and building a decision tree in R
8.4 Confusion matrix and regression trees vs classification trees
8.5 Introduction to bagging
8.6 Random forest and implementing it in R
8.7 What is Naive Bayes? Computing probabilities
8.8 Understanding the concepts of Impurity function, Entropy, Gini index, and Information gain for the right split of node
8.9 Overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning, pruning a decision tree and predicting values, finding out the right number of trees, and evaluating performance metrics

Hands-on Exercise:

1. Implementing random forest for both regression and classification problems
2. Building a tree, pruning it using ‘churn’ as the dependent variable, and building a random forest with the right number of trees
3. Using ROCR for performance metrics

9.1 What is Clustering? Its use cases
9.2 what is k-means clustering? What is canopy clustering?
9.3 What is hierarchical clustering?
9.4 Introduction to unsupervised learning
9.5 Feature extraction, clustering algorithms, and the k-means clustering algorithm
9.6 Theoretical aspects of k-means, k-means process flow, k-means in R, implementing k-means, and finding out the right number of clusters using a scree plot
9.7 Dendograms, understanding hierarchical clustering, and implementing it in R
9.8 Explanation of Principal Component Analysis (PCA) in detail and implementing PCA in R

Hands-on Exercise:

1. Deploying unsupervised learning with R to achieve clustering and dimensionality reduction
2. K-means clustering for visualizing and interpreting results for the customer churn data

10.1 Introduction to association rule mining and MBA
10.2 Measures of association rule mining: Support, confidence, lift, and apriori algorithm, and implementing them in R
10.3 Introduction to recommendation engines
10.4 User-based collaborative filtering and item-based collaborative filtering, and implementing a recommendation engine in R
10.5 Recommendation engine use cases

Hands-on Exercise:

1. Deploying association analysis as a rule-based Machine Learning method
2. Identifying strong rules discovered in databases with measures based on interesting discoveries

Self-paced Course Content

11.1 Introducing Artificial Intelligence and Deep Learning
11.2 What is an artificial neural network? TensorFlow: The computational framework for building AI models
11.3 Fundamentals of building ANN using TensorFlow and working with TensorFlow in R

12.1 What is a time series? The techniques, applications, and components of time series
12.2 Moving average, smoothing techniques, and exponential smoothing
12.3 Univariate time series models and multivariate time series analysis
12.4 ARIMA model
12.5 Time series in R, sentiment analysis in R (Twitter sentiment analysis), and text analysis

Hands-on Exercise:

1. Analyzing time series data
2. Analyzing the sequence of measurements that follow a non-random order to identify the nature of phenomenon and forecast the future values in the series

13.1 Introduction to Support Vector Machine (SVM)
13.2 Data classification using SVM
13.3 SVM algorithms using separable and inseparable cases
13.4 Linear SVM for identifying margin hyperplane

14.1 What is the Bayes theorem?
14.2 What is Naïve Bayes Classifier?
14.3 Classification Workflow
14.4 How Naive Bayes classifier works and classifier building in Scikit-Learn
14.5 Building a probabilistic classification model using Naïve Bayes and the zero probability problem

15.1 Introduction to the concepts of text mining
15.2 Text mining use cases and understanding and manipulating the text with ‘tm’ and ‘stringR’
15.3 Text mining algorithms and the quantification of the text
15.4 TF-IDF and after TF-IDF

View More
42
Hours of Instructor-led Training
28
Hours of Self-paced Videos
7
Guided Projects to Practice
24/7
Lifetime Technical Support

Free Career Counselling

Data Science Projects Covered

Market Basket Analysis

This is an inventory management project where you will find the trends in the data that will help the company to increase sales. In thisRead More..

image

Credit Card Fraud Detection

The project consists of data analysis for various parameters of banking dataset. You will be using a V7 predictor, V4 predictor for analysis, and dataRead More..

image

Loan Approval Prediction

In this project, you will use the banking dataset for data analysis, data cleaning, data preprocessing, and data visualization. You will implement algorithms such asRead More..

image

Netflix Recommendation System

Implement exploratory data analysis, data manipulation, and visualization to understand and find the trends in the Netflix dataset. You will use various Machine Learning algorithmsRead More..

image

Case Study 1: Introduction to R Programming

In this project, you need to work with several operators involved in R programming including relational operators, arithmetic operators, and logical operators for various organizationalRead More..

image

Case Study 2: Solving Customer Churn Using Data Exploration

Use data exploration in order to understand what needs to be done to make reductions in customer churn. In this project, you will be requiredRead More..

image

Case Study 3: Creating Data Structures in R

Implement numerous data structures for numerous possible scenarios. This project requires you to create and use vectors. Further, you need to build and use metrics,Read More..

image

Case Study 4: Implementing SVD in R

Utilize the dataset of MovieLens to analyze and understand single value decomposition and its use in R programming. Further, in this project, you must buildRead More..

image

Case Study 5: Time Series Analysis

This project required you to perform TSA and understand ARIMA and its concepts with respect to a given scenario. Here, you will use the RRead More..

image

Data Science Certification in Surat

What should I do to unlock Intellipaat’s certificate?

To unlock Intellipaat’s certificate, you need to follow these three steps:

  1. Complete the Data Scientist course in Surat successfully
  2. Work on all the industry-based projects included in the course
  3. Pass the certification exam conducted by Intellipaat

The Data Scientist training certification you receive from Intellipaat is valid for an entire lifetime and is recognized by top MNCs around the world.

When you complete the Data Science course in Surat and clear the Data Science certification exam conducted by Intellipaat, you will receive our Data Science certificate via the Learning Management System. You can download the certificate or share it through email or LinkedIn.

Yes! The certification by Intellipaat is well-recognized in the industry. Besides, you will receive a Data Science course completion certificate from IBM as we are affiliated with this top-tier institute.

View More

Data Scientist Course in Surat Reviews

 course-reviews

Mr Yoga

 course-reviews

John Chioles

 course-reviews

Ritesh

 course-reviews

Dileep & Ajay

 course-reviews

Sagar

 course-reviews

Ashok

Vikrant Singh

Big Data Analytics

It was a wonderful experience learning Data Science in Surat from Intellipaat. The trainers were hands-on and provided real-time scenarios. According to me, for learning cutting-edge technologies, Intellipaat is the right place.

intellipaat-avatar

Kavita Mehra

Hadoop Developer at TCS

The classes from this best Data Science training institute in Surat were highly interactive and also practical-oriented. The office staff was cordial. Every teaching session was recorded each day and was put online. The trainer was very patient and gave hints to solve all the questions posed to him.

Prasil das

SEO Specialist at Jain

Awesome response to queries! Thanking you for resolving all my issues and helping me learn tough concepts through highly insightful videos.

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

My issues were resolved, thanks to the deep domain expertise of the trainer. I am greatly indebted to Intellipaat for assigning such knowledgeable and experienced trainers for this certification course. It really makes a difference to the learner.

Kevin K Wada

Oracle Developer at Free Agent

Thank you very much for your top-class service. A special mention should be made for your patience in listening to my queries and giving me a solution, which was exactly what I was looking for. I am giving you a 10 on 10!

Bhanukumar Muppalla

Software Engineer at DXC Technology

Data Science online training includes a lot of constituent components, and Intellipaat’s course provided the most comprehensive and in-depth learning experience. I really liked the real-world projects in Data Science, which helped me take on a Data Science role in a reputed company much easier.

Nitesh Kumar Dash

Professional

Intellipaat’s Data Science videos really made me excited about studying Data Science. They were so elaborate and so professionally created. I could learn Data Science from the comfort of my home, thanks to those learner-friendly videos. I am grateful to Intellipaat!

Giri Karnal

Professional

I had taken up the Data Science master’s program, which was a combo of SAS, R programming language, and Apache Mahout. Since there are so many technologies involved in training courses, getting our query resolved at the right time becomes the most important aspect. But with Intellipaat, there was no such problem as all my queries were resolved in less than 24 hours.

Shreyash Limbhetwala

Technical Delivery Lead

I want to talk about the rich LMS that Intellipaat’s Data Science program offered. The extensive set of PPTs, PDFs, and other related material were of the highest quality, and due to this, my learning with Intellipaat was excellent. I could clear the Cloudera Data Scientist certification exam in the first attempt.

intellipaat-avatar

Swetha Pandit

Big Data Developer at Accenture

Intellipaat’s Data scientist courses online are well structured and taught by recognized professionals. They helped me learn Data Science fast. I have found their videos to be of excellent quality. Thanks a lot!

Sudipto

PS Consultant at Genesys

Intellipaat’s Data Scientist training in Surat is outstanding. The trainer is an experienced Data Scientist who has a good hold on the subject. Now, I’m an expert in Data Science, and I am already placed in a reputed firm.

Thejaswar Reddy

Programmer Analyst

I signed up for Intellipaat's Data science online course when I learned that it is a great place for learning new technologies. The training material offered by them was extremely useful. I opted for the weekend classes as per my convenience. The trainer of this course was really good and helped me learn the subject well. Besides, the online support team helped me resolve anyRead More..

Adarsh Vijay

Student at RTU

Excellent Data Science course in Surat. I found Intellipaat's training team to be talented in their respective domains. 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 get a deep understanding of the technology. Moreover,Read More..

Sachin Bhatia

QA Engineer at NOKIA

Best training program. My decision to learn from Intellipaat was the best to upgrade my career. This Data Science online 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 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

A great teaching team! All trainers and the support team were very helpful and easily reachable. The course content of this Data Science program covered all the topics from basic-to-advanced modules.

Karthikeyan Ganesan

Extremely grateful to Intellipaat! The explanation of concepts and topics were simple and comprehensive. Moreover, the training material was relevant, up to date, and easily understandable. They have a great support team.

Shamirna Micheal

Associate Professional Application Delivery at CSC

Genuine platform for learning. I finished my Data Science course recently from Intellipaat. The trainers were excellent in teaching. Further, the course was well-structured and the lectures are really flexible. I was working, and I still got the time to complete the course within the given time, and it was mainly possible because of the 24*7 support system and the clarity of their teaching. Besides,Read More..

Remona Yacoop

Teacher at VIBGYOR Group of Schools

Great training program. It was an amazing experience learning from Intellipaat. During this COVID-19, it was extremely fruitful to learn and spend ample amount of time as a part of this institute. Intellipaat has also provided great support during the Data Science training course. Besides, the instructor was very supportive in the course, guidance was also given to complete assignment and project which was veryRead More..

Afsana Zaman

Data Scientist

Great experience. The support team has always been supportive and efficient to help us. The collaboration of practical with theoretical knowledge makes Intellipaat highly suitable for those who wants to upgrade their career.

Data Science Training in Surat FAQs

Why should I join this Data Scientist course in Surat by Intellipaat?

As per Forbes, the demand for Data Scientist and Data Analyst job roles is continually increasing. If you want to excel in Data Science and pursue a career in this domain, then this is the right time, and our Data Science program is your best choice. Intellipaat is well-recognized in offering training and certification in cutting-edge technologies.

The trainers of this Data Science course in Surat with placement are knowledgeable and have over 12 years of experience in the domain. Besides, you will get lifetime LMS access and 24/7 technical support. We offer a course completion certificate once you complete the course and projects. We also provide job assistance.

For Intellipaat’s courses, geographical boundaries do not apply. It does not matter in which locality of Surat you are in, be it Adajan, City Light Town, Vesu, Piplod, Palanpur, Athwalines, Bhatar, Katargam, Varachha, or anywhere. You can access our online Data Science courses in Surat sitting at your home or office.

Intellipaat offers one of the leading Data Science courses in Surat that will help you learn the practical implementations of this domain on real-time live projects. The courses such as Artificial Intelligence, Machine Learning, Data Science with R Certification, and others are comprehensive and tailor-made to suit you as per the industry’s needs.

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.

View More

Talk to us

Recommended Courses

Select Currency