We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.

Overview of Data Science Training Course in Bangalore

Overview of Data Science course

A data science platform can be defined as a multi-disciplinary tool that uses scientific methods, processes, algorithms, and systems to provide insights into structured and unstructured data. In technical terms, Data Science is an integrated science of statistics, data analysis, and machine learning that contributes to the understanding and analysis of real-life phenomena.

Data Science is not only a technical tool; it utilizes theories and techniques from various disciplines including mathematics, statistics, computer science, and information science. As part of data science, there are three main elements: organizing, packaging, and delivering data. By learning data science courses in Bangalore, it is possible to analyze data, draw conclusions, and make decisions based on those conclusions.

The industry is being driven by data. In the automobile industry, too, data is used to create a sense of independence and increase the safety of their channels. By making data-driven machines, it is possible to create highly intelligent devices. For businesses to grow, perform better, and meet customer expectations, they need data. We took the financial industry example in the data science section to illustrate how to maximize sales using data science. A Data Scientist would be responsible for all of these duties.

Projects based on real-world experience

Throughout the course, you will be able to work on real-world, industry-based projects from the ground up. As a result, you will gain experience in the following areas:

Optimizing code execution

· Ability to handle situations as they arise

· Handling all issues

· Better decision-making

3RI Technologies will provide you with individual mock tests, exams, and interview training for data science in Bangalore

Which requirements must be met to achieve this certification?

It is important to attend all classes and sessions in data science training in Bangalore without a long break.
Make have to join the Classroom Training, that is provided in the institute and stick with it.
Regular attendance and submitting your projects on time are required for Training.
Attend class on time, and submit one assignment after the course concludes.

Why Post Graduate Program is a different course from data analysis & Machine Learning?

The following data analytics and machine learning training course are unlike any other because our program is designed in collaboration with the world’s largest employers of Data Scientists. With our program, you’ll be guided through Capstone Projects, real-world work projects, and relevant case studies, as well as mentorship from industry experts.

Why Data Science course from 3RI

We at 3RI Technologies is a data science institute in Bangalore that conducts a Data Science course annually in Bangalore and offers comprehensive training that combines theory with hands-on experience for our students. At 3RI Technologies you gain experience working on real-life projects.

A Data Science matrix can be delineated broadly as follows:

Big data refers to the ability of the data professional to assemble quality data (hence metrics) from all possible sources and to manage the data for productive analyses. Statistics is very important in this regard.
Here, the data scientist develops innovative programming models to analyze raw data sets that may be unstructured, unrelated, dynamic, obsolete & redundant. It is common for data analytics models to be written in Python. Coherent resonances are enabled by Business Intelligence tools.
Automated Methodology the Data Scientist designs consistent algorithms (machine learning) for churning available data from designated sources and generating the required leads (e.g., marketing, sales, customer engagement, feedback, and more). With this kind of automated process, users get a regular supply of insights and inferences about their usage.

Projects involving industries

Industry projects sponsored by top companies across a wide range of industries provide real-life learning

Implementing projects using real-time scenarios.

Mentors with specialized industry knowledge

Sessions with hiring managers and mock interviews are on career paths. Expand your career network with our hiring partners.

You need to attend the classes associated with your Data Science course from the best institute for data science in Bangalore. You can attend the same session with another upcoming batch if you missed any classes due to personal or health reasons. In case you cannot make it to class, you can listen to the recorded session of the previous class. The next class will be another chance to clarify any doubts you may have. To move forward, it is essential to clear any doubts.

Data Science Course Demand & Future scope

There is no doubt that data science is growing rapidly in India. With every company becoming a technology company, both manufacturing and retail companies are strengthening their data teams. There are more than 50 data science centers operating in India, including centers set up by Mercedes Benz, Walmart, PayPal, and AIG. “Changing to an age of data-driven decisions isn’t always easy.”. Despite heavy investments in technology, some companies have yet to restructure their organizations so that these investments can be realized. “Many organizations struggle to get value from analytics by developing talent, processes, and organizational muscles.”

In India, many people already have excellent skills in mathematics, statistics, and quantitative analysis. A data scientist needs cutting-edge skills and the best data science courses in Bangalore to get a certification if she or he wants to become a data analyst in the future. Do not be afraid to get your hands dirty when it comes to attacking the data.

As a part of the data scientist course in the Bangalore curriculum, candidates can learn about different sub-domains of data science to develop an understanding of future data science opportunities. Several verticals of data science courses require employers to hire employees with specialized skills.

Future of data science

Increasing demand for data scientists
Data science has a defined role
More jobs are created
A standardized data science education
Data science advances using machine learning

In the past year, the number of jobs related to data science has increased by almost 45% as a result of data analytics being used in almost every industry. Data Scientists are in high demand in India, as is shown by the growing demand for them. A professional who joins a data science course has more chances to grow more with a good salary package.

Skills Required

Certifications

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24x7 Support and Access

24x

40 to 50 Hour Course Duration

40- 0

Extra Activities, Sessions

0 %

Data Science Course Syllabus

Decade Years Legacy of Excellence | Multiple Cities | Manifold Campuses | Global Career Offers

Module 1: Fundamentals of Statistics & Data Science

Fundamentals of Data Science and Machine Learning

Introduction to Data Science
Need of Data Science
BigData and Data Science’
Data Science and machine learning
Data Science Life Cycle
Data Science Platform
Data Science Use Cases
Skill Required for Data Science

Mathematics For Data Science

Linear Algebra
- Vectors
- Matrices
Optimization
- Theory Of optimization
- Gradients Descent

Introduction to Statistics

Descriptive vs. Inferential Statistics
Types of data
Measures of central tendency and dispersion
Hypothesis & inferences
Hypothesis Testing
Confidence Interval
Central Limit Theorem

Probability and Probability Distributions

Probability Theory
Conditional Probability
Data Distribution
Distribution Functions
- Normal Distribution
- Binomial Distribution

Module 2: Python for Data Science

An Introduction to Python

Why Python , its Unique Feature and where to use it?
Python environment Setup/shell
Installing Anaconda
Understanding the Jupyter notebook
Python Identifiers, Keywords
Discussion about installed module s and packages

Conditional Statement ,Loops and File Handling

Python Data Types and Variable
Condition and Loops in Python
Decorators
Python Modules & Packages
Python Files and Directories manipulations
Use various files and directory functions for OS operations

Python Core Objects and Functions

Built in modules (Library Functions)
Numeric and Math’s Module
String/List/Dictionaries/Tuple
Complex Data structures in Python
Python built in function
Python user defined functions

4. Introduction to NumPy

Array Operations
Arrays Functions
Array Mathematics
Array Manipulation
Array I/O
Importing Files with Numpy

5. Data Manipulation with Pandas

Data Frames
I/O
Selection in DFs
Retrieving in DFs
Applying Functions
Reshaping the DFs – Pivot
Combining DFs
Merge
Join
Data Alignment

6. SciPy

Matrices Operations
Create matrices
Inverse, Transpose, Trace, Norms , Rank etc
Matrices Decomposition
Eigen Values & vectors
SVDs

7. MatPlotLib & Seaborn

Basics of Plotting
Plots Generation
Customization
Store Plots

8. SciKit Learn

Basics
Data Loading
Train/Test Data generation
Preprocessing
Generate Model
Evaluate Models

9. Descriptive Statistics

. Data understanding

Observations, variables, and data matrices
Types of variables
Measures of Central Tendency
Arithmetic Mean / Average
- Merits & Demerits of Arithmetic Mean and Mode
- Merits & Demerits of Mode and Median
- Merits & Demerits of Median Variance

10. Probability Basics

Notation and Terminology
Unions and Intersections
Conditional Probability and Independence

11. Probability Distributions

Random Variable
Probability Distributions
Probability Mass Function
Parameters vs. Statistics
Binomial Distribution
Poisson Distribution
Normal Distribution
Standard Normal Distribution
Central Limit Theorem
Cumulative Distribution function

12. Tests of Hypothesis

Large Sample Test
Small Sample Test
One Sample: Testing Population Mean
Hypothesis in One Sample z-test
Two Sample: Testing Population Mean
One Sample t-test – Two Sample t-test
Paired t-test
Hypothesis in Paired Samples t-test
Chi-Square test

13. Data Analysis

Case study- Netflix
Deep analysis on Netflix data

Module 3: Machine Learning

Exploratory Data Analysis

Data Exploration
Missing Value handling
Outliers Handling
Feature Engineering

Feature Selection

Importance of Feature Selection in Machine Learning
Filter Methods
Wrapper Methods
Embedded Methods

Machine Learning: Supervised Algorithms Classification

Introduction to Machine Learning
Logistic Regression
Naïve Bays Algorithm
K-Nearest Neighbor Algorithm
Decision Tress
1. SingleTree
2. Random Forest
Support Vector Machines
Model Ensemble
Model Evaluation and performance
- K-Fold Cross Validation
- ROC, AUC etc…
Hyper parameter tuning
- Regression
- classification

Machine Learning: Regression

Simple Linear Regression
Multiple Linear Regression
Decision Tree and Random Forest Regression

Machine Learning: Unsupervised Learning Algorithms

Similarity Measures
Cluster Analysis and Similarity Measures

Ensemble algorithms

Bagging
Boosting
Voting
Stacking
K-means Clustering
Hierarchical Clustering
Principal Components Analysis
Association Rules Mining & Market Basket Analysis

Module 4: Project Work and Case Studies

Machine Learning end to end Project blueprint
Case study on real data after each model.
Regression predictive modeling – E-commerce
Classification predictive modeling – Binary Classification
Case study on Binary Classification – Bank Marketing
Case study on Sales Forecasting and market analysis
Widespread coverage for each Topic
Various Approaches to Solve Data Science Problem
Pros and Cons of Various Algorithms and approaches

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Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

Dedicated Industry Experts Mentors

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Data Science Training Testimonials

What our students talks about us. If you were student of 3RI and wants to share your thought about us, kindly mail or call us.

Very good experience learning in 3RI Technologies. Thankyou so much Abhijeet Sir for always guiding and supporting us. Happy to attend classes here.

Great place for Online certification into Data Science. The faculty & management were exceptionally helpful. The instructor had a thorough practical experience which he included in his teaching methodology. I landed up a job within 1 month of the completion of my certification.

Good Institute for Data Science Online Training, Great Learning Experience, Professional Trainers, Good Placement Assistance, Got opportunities in MNCs.

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Data Science Training in Bangalore