course detail

Data Science Training

Data Science Training Institute in Chennai

Searching for Data Science Training in Chennai ?Here you go !!!  BITA is the Best Data Science Training Institute in Chennai. Call 956600-4616 For More Details.

So Register today for free demo classes with our industry experts.

What is Data Science?

It is in the scope of Big Data which looks to provide more information from large amounts of complex data. And moreover it provides a mixed combination of statistics and Data Computation.

So Why Choose BITA for Data Science Training?

If you look out for a place to be a Data Scientist,then BITA is the Best Data Science Training Institute in Chennai . It is the best place for a software professional that looks for a career change. we have trained more than hundreds of software professionals in this trending technology.

  • Industrial experts as trainers.
  • 18*7 whatsapp support.
  • Flexible Timings.
  • Story Line Teaching.
  • Real Time Examples.
  • Online training offered.

So Don’t worry. Our high potential trainers will be there to assist you in this course and get rid of all huddles.

We are here to help you.

Who Should learn Data Science?

  • Anyone who want to be an expert in Data Science.
  • If you want to improve your data mining skills.
  • Someone who wants to improve their statistical modelling skills.
  • Anybody who wants to improve their data preparation skills.
  • Anybody who wants to improve their Data Science presentation skills

About Data Science course

We have designed this course in such a way that it is simple and easy to learn. This course will make you strong in fundamental concepts and help you align in line with market need.

Join the class today from Best Data Science Training Institute in Chennai.

Data Science Training Course Content

Part 1:Introduction to Data Science

  • What is the need for Data Scientists
  • Data Science Foundation
  • Business Intelligence
  • Data Analysis
  • Data Mining
  • Machine Learning
  • Difference between Analytics vs. Data Science
  • Analytics and it’s types
  • Lifecycle Probability
  • More about Analytics Project Lifecycle

Part 2: Python Ecosystem for Machine learning

  • Python
  • NumPy
  • Matplotlib
  • Pandas
  • SciPy
  • scikit learn

Part 3: Statistics and Mathematics

  • Inferential statistics Descriptive statistics
  • Linear Algebra Probability Calculus

Part 4: Exploratory Data analysis

  • How to Load Machine Learning Data
  • Understand Your Data with Descriptive Statistics
  • Understand Your Data with Visualization

Part 5: Feature Engineering

Prepare Your Data for Machine Learning

  • Need For Data Pre processing
  • Data Transforms
  • Rescale Data
  • Standardize Data
  • Normalize Data
  • Binarize Data(Make Binary)

Feature Selection for Machine Learning

  • Feature Selection
  • Univariate Selection
  • Recursive Feature Elimination
  • Principal Component Analysis
  • Feature Importance

Part 6: Machine learning Algorithms

Gradient Descent for Machine Learning

  • Gradient Descent
  • Batch Gradient Descent
  • Stochastic Gradient Descent
  • Tips for Gradient Descent

Linear Algorithms

  • Linear Regression
  • Logistic Regression
  • Linear Discriminant Analysis

Non linear Algorithms

  • Decision Trees
  • Naive Bayes
  • Gaussian Naïve Bayes
  • k-Nearest Neighbors
  • Learn Vector Quantization
  • Support Vector Machine

Unsupervised Algorithms

  • Cluster Algorithms
  • PCA
  • Recommendation System
  • User based Collaborative Filter
  • Item based Collaborative Filter

Part 6: Ensemble Algorithms

Bagging and Random Forest

  • Bootstrap Method
  • Bootstrap Aggregation(Bagging)
  • Random Forest
  • Estimated Performance
  • Variable Importance
  • Prepare Data For Bagged CART

Boost and AdaBoost

  • Learn An AdaBoost Model From Data
  • How To Train One Model
  • Make Predictions with AdaBoost
  • Prepare Data For AdaBoost


Part 8: Evaluation and Performance metrics of Model

Test Machine Learning Algorithms

  • Split into Train and Test Sets
  • K-fold Cross-Validation
  • Leave One Out Cross Validation
  • Repeated Random Test Train Splits
  • What Techniques to Use When

Algorithm Evaluation Metrics

  • Classification Metrics
  • Regression Metrics

Part 9: Productizing the Model

Save and Load Machine Learning Models

  • complete Your Model with pickle
  • Tips to complete Your Model
  • Create Rest services

Part 10: Final Project.

So you can reach out to us at 95600-4616 for registration or submit an Enquiry form for us to reach you.

 Above all you can learn other courses from us and it includes Java,Selenium,IoT,Angular JS,AWS,Python.

Data Science Training Institute in Chennai

We have many tutors in chennai but one has to choose the right one that depends on vari16ous factors. And this will help you gain good knowledge in Data Science when you complete this course.

The institute should have experience in machine learning and artificial intelligence. And I would suggest that a most experienced trainer should teach these concepts.

Think twice before you decide one.

So Why do we need to call one a Data Scientist?

A data scientist is the adult version of the kid who can’t stop this ask “Why?”. So They are the kind of person who goes into an ice cream shop and gets five different scoops on their cone because they need to know what each one tastes like. And moreover even the term data scientist is a catchall title that encompasses many different flavours of work.

Data analysis

A data scientist will work with data sets with high volume which is difficult to open. And it may even be too large to work with on a single computer.

So Data analysis is the realm of visualization (tables are for robots). Through this process, a data scientist tries to craft a story and explain the data in a way that is easy to act on. Sometimes this can be simple that we figure out on what property or event signals the new users convert. something more complex, like we figure out when someone scam you for lots of money ala Office Space. For example, data scientists at Facebook figured out that we have at least ten friends assures that a user will stay active on the site. And this is why there is so much machinery on the site devoted to find new friends.


So It is pretty normal that a data scientist who does modeling or statistics depends on the type of work they does. So People who studied statistics consider themselves to be statisticians. everyone else is going to claim to be more of a modeler (or an expert in machine learning if they feel fancy).

We live in a golden age of machine learning, where powerful algorithms are available as black boxes that produce good results. But, it’s easy to find yourself sitting on a problem that no model will work well on right out of the box. So a data scientist spends a lot of time to confirm and tweak models. And moreover they analyze data back and forth to bring out new features. And this can help make better models.

So why Automation is important?

So Few professional is not happy with automation that creates opportunity for job cuts. But many still like it as it also create opportunity for them to learn new technologies. And this will allow them to focus on strategic responsibilities that is important.

Data Science Training in Chennai Reviews

“Our Customer is everything”

Best Data Science Training Institute in Chennai

 “I got a quality Training. Thanks BITA for the support . Trainer is a gem and has deep knowledge. He is polite and cleared even my silly doubts that i had. Good Learning experience. A pleasant journey. So Thanks again.”

Data Science Course in Chennai

“Excellent  Training. Best Institute for R with Machine Learning. Ramesh is talented and once can say that he has done his master degree in Data Science. So He explains the concepts well that even the tough concepts is well explained. He is an expert in Machine learning and the passion he  has in teaching is amazing. with vast experience combined with his enthusiasm he has for a teaching makes the experience. So I recommend BITA for Data Science/ Machine Learning.”

Good Training Experience

“Hi,This is Rahul. I attended the demo session with the trainer and i was pretty impressed with the way he explained the concepts. Then I enrolled for the course then and i completed the course within 2 months. And moreover I got a job in an MNC with good hike in salary. So Thanks BITA.”

Why do you need to learn Data Science?

Demand for Data Science is huge and the IT transformation is going that requires a software professional to be well versed in Artificial intelligence,Machine learning which will be the leading technology for future. And the Salary hike for this skill is high that one should learn this technology if they look for a good position in IT.

Placement Assistance

We give 100% placement assistance to you for your best career. We conduct mock interviews during the course period. In the Mock Interviews, We will figure out your Technical competence and the areas you need to Improve. This will increase your technical skill and interview confident level.

Free Demo Classes