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 Ahmedabad

Data Science Course Overview

In this century, data scientists will be among the most in-demand professions. Data scientists are digital, programmers, and analytical. Therefore, it should come as no surprise that the job market has been flooded with data scientists.

There has been a very limited supply, however. The skills required to become a data scientist are difficult to acquire. 3RI Technologies offers Data Science certification in Ahmedabad that can help you advance your career. We offer the perfect blend of theory, case studies, and capstone projects in our data science training in Ahmedabad. Course materials have been designed to meet industry standards. With an international certification, recruiters around the world will notice you. Once certified, you will land a job with a reputable company.

3RI Technologies offers a Data Science course in Ahmedabad, the most comprehensive Data Science course in the market, covering the complete Data Science lifecycle concepts from Data Extraction, Data Transformation, Feature Engineers are responsible for data collection, data exploration, data integration, data cleaning, data mining, building prediction models, data visualization, and deploying the solution to end-users. Statistical Analysis, Regression Modelling, Hypothesis Testing, Neural Networks, Predictive Analytics, Machine Learning, Deep Learning, Adobe Photoshop, Adobe Illustrator, Microsoft Office, Tableau, Hadoop, programming languages such as R, Python are covered extensively during this Data Science training. The Data Science training program at 3RI Technologies offers training as well as placement services as part of the Data Science training program that has placed over 400+ participants in various prestigious companies.

A Data Scientist mines hidden insights from data about trends, behaviors, interpretations, interpretations, and inferences to support business decisions. In this case, the professionals are called Data Scientists or Science professionals. As reported by Harvard, Data Science is one of the most in-demand careers. In terms of trending technologies, there is no wonder that the Data Scientist course is among the most sought-after in Bangalore.

Why Data Science Course from 3RI Technologies

There are a variety of data science courses offered by 3RI in Ahmedabad that prepare students for a variety of work careers in Data Science and other trending fields. Here you will find everything you need to get started in a career in Data Science. Data Science training at 3RI Technologies is regarded as one of the data science courses in Ahmedabad. Thousands of Data Science professionals in India and abroad have built their careers with us. Training to Job Placement – that’s what we do best. Assisting you until you find a job is what we do best. The expert trainers will assist you with learning the concepts, completing assignments, and completing live projects.

Who is eligible to apply?

The Information Architect and the Statistician
Those interested in mastering predictive analytics and machine learning
IT professionals with experience in big data, business analysis, and business intelligence
A candidate who wants to pursue a career as a Machine Learning Expert, Data Scientist, etc.

Learning Journeys tailored to your needs

With regards to course duration, timing, and more, select the program that fits your specific needs. Learn in a way that caters to your individual needs with the utmost flexibility.

Experiential Learning with Hands-on Experience

Work on Data Science projects in real-time and participate in several lab sessions.

Support dedicated to your program

Take advantage of dedicated mentorship from highly skilled professionals who can help you navigate your way to a successful career in Data Science.

Developing curriculum that drives business outcomes

A comprehensive curriculum designed to provide knowledge and expertise to the candidates.

Cohort Based Pedagogy

Get to know Data Science tools and techniques in a collaborative learning environment.

Learning Analytics

Acquire expertise in one of the best skills in the market today by mastering analytical tools.

Learning the core technology frameworks used to analyze big data is essential for mastering the field of data science. This course teaches you about developmental and programming frameworks like Hadoop and Spark for processing massive amounts of data in an environment of distributed computing, and teaches you complex data science algorithms and how to implement them in R, the preferred statistical language. Utilizing data visualization platforms such as Tableau, you’ll be able to discover insights from the data. The course will introduce you to the latest machine learning technologies after you master data management and predictive analysis techniques. You will be able to master a broad range of data science and big data technologies through the course.

Data Science Course Demand and Future scope

Data Scientists are part of a modern trend that makes the world adapt to the latest trends. Today’s youth are starting to consider it as one of their top career options. Every organization, from multinational corporations to small startups, requires a Data Scientist to properly utilize the huge amounts of data they generate and store. Today and in the future, Data Science has a wide range of applications. Data Science is largely unknown as a career option and is even a little mystifying to most people.

Providing health care

Because healthcare creates a lot of data every day, there is a huge demand for data scientists in the industry. It would be impossible for an unprofessional candidate to handle such a massive amount of data. Hospitals need to keep records of patients’ medical histories, bills, and employees’ personal information. In the medical sector, data scientists are being hired to improve the quality and safety of patient data.

Sector of Transport

For a data scientist to analyze the data collected by ticketing systems, asset management systems, location systems, fare collection systems, and passenger counting systems, the transport sector needs a data scientist.

E-commerce

Due to data scientists, the e-commerce industry has exploded because they analyze data and provide users with personalized recommendations.

Furthermore, the data scientist course in Ahmedabad has had a significant impact on medical science as well. Medical Image Analysis, Genomics, Remote Monitoring, and Drug Development were found to be useful from the analytics and requisition. Indian businesses and organizations are going online. Indian data centers are the second-largest in the world. Approximately 11 million jobs will be available by 2026, according to analysts.

Skills Required

Certifications

0 +

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

Claim your free expert counseling session today!

Do you want to book a FREE Demo Session?

Who can apply for the course?

Want an Expert Opinion?

Industry Projects

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

Dedicated Industry Experts Mentors

Receive 1:1 career counselling sessions & mock interviews with hiring managers. Further your career with our 300+ hiring partners.

I'm Interested in This Program

Our Clients

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.

Data Science Training Offered in Other Locations

Data Science Training in Ahmedabad