Data Science Training in Bangalore

4000+ Learners

Expert Trainers

100% Placement

Realtime Projects

Individual Focus

Flexible Schedule

High-Quality Training Awaits You

Join over 100000+ learners who have taken up training with myTectra. Get High-Quality Training, Certification, Best Price and 24/7 Customer Care.

Key Program Highlights:

Delivering top-notch education to equip you with essential skills.
Learn from industry experts with real-world experience.
A thorough curriculum covering all necessary topics.
Dedicated support to help you secure job placements.
High ratings reflecting our commitment to quality.
Hands-on experience through real-world projects.
Personalized, engaging learning for better outcomes.

Data Science training Program makes you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Machine Learning, Data Science, Python,. Gain hands-on exposure to key technologies including R, Python, Tableau, Hadoop, and Spark. Become an expert Data Scientist today.

At the end of the course we will be discussing various practical use cases of Data Science to enhance your learning experience. myTectra’s Data Science Certification Training course is also a gateway towards your Data Science career.

Curriculum:

1. Getting Started With Data Science And Recommender Systems

Data Science Overview
Reasons to use Data Science
Project Lifecycle
Data Acquirement
Evaluation of Input Data
Transforming Data
Statistical and analytical methods to work with data
Machine Learning basics
Introduction to Recommender systems
Apache Mahout Overview

2. Reasons To Use, Project Lifecycle

What is Data Science?
What Kind of Problems can you solve?
Data Science Project Life Cycle
Data Science-Basic Principles
Data Acquisition
Data Collection
Understanding Data- Attributes in a Data, Different types of Variables
Build the Variable type Hierarchy
Two Dimensional Problem
Co-relation b/w the Variables- explain using Paint Tool
Outliers, Outlier Treatment
Boxplot, How to Draw a Boxplot

3. Acquiring Data

Discussion on Boxplot- also Explain
Example to understand variable Distributions
What is Percentile? – Example using Rstudio tool
How do we identify outliers?
How do we handle outliers?
Outlier Treatment: Using Capping/Flooring General Method
Distribution- What is Normal Distribution
Why Normal Distribution is so popular
Uniform Distribution
Skewed Distribution
Transformation

4. Machine Learning In Data Science

Discussion about Box plot and Outlier
Goal: Increase Profits of a Store
Areas of increasing the efficiency
Data Request
Business Problem: To maximize shop Profits
What are Interlinked variables
What is Strategy
Interaction b/w the Variables
Univariate analysis
Multivariate analysis
Bivariate analysis
Relation b/w Variables
Standardize Variables
What is Hypothesis?
Interpret the Correlation
Negative Correlation
Machine Learning

5. Statistical And Analytical Methods Dealing With Data, Implementation Of Recommenders Using Apache Mahout And Transforming Data

Correlation b/w Nominal Variables
Contingency Table
What is Expected Value?
What is Mean?
How Expected Value is differ from Mean
Experiment – Controlled Experiment, Uncontrolled Experiment
Degree of Freedom
Dependency b/w Nominal Variable & Continuous Variable
Linear Regression
Extrapolation and Interpolation
Univariate Analysis for Linear Regression
Building Model for Linear Regression
Pattern of Data means?
Data Processing Operation
What is sampling?
Sampling Distribution
Stratified Sampling Technique
Disproportionate Sampling Technique
Balanced Allocation-part of Disproportionate Sampling
Systematic Sampling
Cluster Sampling
2 angels of Data Science-Statistical Learning, Machine Learning

6. Testing And Assessment, Production Deployment And More

Multi variable analysis
linear regration
Simple linear regration
Hypothesis testing
Speculation vs. claim(Query)
Sample

7. Business Algorithms, Simple Approaches To Prediction, Building Model, Model Deployment

Machine Learning
Importance of Algorithms
Supervised and Unsupervised Learning
Various Algorithms on Business
Simple approaches to Prediction
Predict Algorithms
Population data
sampling
Disproportionate Sampling
Steps in Model Building
Sample the data
What is K?
Training Data
Test Data
Validation data
Model Building
Find the accuracy
Rules
Iteration
Deploy the model
Linear regression

8. Getting Started With Segmentation Of Prediction And Analysis

Clustering
Cluster and Clustering with Example
Data Points, Grouping Data Points
Manual Profiling
Horizontal & Vertical Slicing
Clustering Algorithm
Criteria for take into Consideration before doing Clustering
Graphical Example
Clustering & Classification: Exclusive Clustering, Overlapping Clustering, Hierarchy Clustering
Simple Approaches to Prediction
Different types of Distances: 1.Manhattan, 2.Euclidean, 3.Consine Similarity
Clustering Algorithm in Mahout
Probabilistic Clustering
Pattern Learning
Nearest Neighbor Prediction
Nearest Neighbor Analysis

9. Integration Of R And Hadoop

R introduction
How R is typically used
Features of R
Introduction to Big data
R+Hadoop
Ways to connect with R and Hadoop
Products
Case Study
Architecture
Steps for Installing RIMPALA
How to create IMPALA packages

Demo Session

Participate in a demo session for an overview of the course content. You will meet instructors and fellow learners, ask questions, and understand the teaching approach, helping you gauge the course’s relevance to your goals.

Enrollment

Complete your registration to join the course. You will gain access to the Learning Management System (LMS), where all materials, schedules, and resources are available, ensuring you’re ready to embark on your learning journey smoothly.

Live Classes

Engage in live classes led by experienced instructors covering core topics in depth. Interactive discussions and Q&A sessions encourage active participation, enhancing your understanding and retention of the material taught.

Hands-On Project

Complete a hands-on project that applies your learned skills in practical scenarios. This project simulates real-world challenges, allowing you to build a portfolio piece that showcases your competencies to potential employers.

Certification

After completing the course and project, you will receive a recognized certification that validates your expertise and enhances your professional credentials in your chosen field.

Career Support

Access career support services after certification, including resume workshops, interview preparation, and job placement assistance. These resources equip you with the tools needed to transition successfully into the workforce.

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Certifications offered by myTectra align with international standards and we also help you to prepare for globally recognized certifications.

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We have a 24x7 online support team to resolve all your technical queries, through a ticket-based tracking system, for a lifetime.

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Enjoy lifetime access to myTectra’s Learning Management System (LMS), including session recordings, study materials, and resources. This ensures continuous learning and easy reference to course content even after completion.

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FAQs

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myTectra is providing 100% placement assistance on our key courses. We help you with the career counselling, Exams on Key courses, Mock Interviews and Technical Interviews Tips.

Landing an interview proves that you have the job-specific skills for the position, but how do your interview skills stack up? Also, Soft skills are often the most important factor in showing you're the best candidate for the job.

Hence we are conducting FREE TRAINING on Soft-Skills worth Rs-25, 000 to all myTectra students which will help you to attend the interviews with more confidence.

You will never miss a lecture at myTectra. You can choose either of the two options:

Classroom Training:

If you miss one or few classes we can give a backup class based on trainer and your convenient time.
In case if you miss many classes, we can reschedule your class with upcoming batches or other running batches based on how many courses topics you have completed so far.

Live-Online Training:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the demo request form below to schedule a free demo.

Just give us a CALL at +918047112411 OR email at support@mytectra.com

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email for both classroom training and Online training.

Visa Debit/Credit Card
American Express and Diners Club Card
Master Card
PayPal
Net Banking/Wire Transfer
UPI Payment such as Google Pay, PhonePe, Paytm
Cash/Cheque/DD ( Not for Online Training )

For Individual:

Classroom Training - Bangalore

Live-Online Training - Globally

For Corporates:

Classroom Training - We deliver classroom training for corporate in more than 20 countries. Send us an Enquiry Now!

Online Training - Globally

* All of the classes are conducted live online. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference.