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Home >> Live Programs >> Live Online Training- Data Science E-Degree

Data Science Live E-Degree

Get trained with all the techniques of data science for a full-fledged data science career!

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Our Students Work For The Best

Key Highlights

  • Global Instructors Led 32 Live Sessions
  • Exclusive Live Classes On Weekend
  • 60+ Hrs Of Live Training
  • Limited To 15 Seats Only
  • No Prior Coding Knowledge Required
  • Latest & Trending Data Science Techs Included
  • Get Trained For A Full-Fledged Data Sc Career
  • Real-Time Development
  • Focuses On Building Soft Skills
  • Interview Preparation & Mentoring
  • Internship Opportunities (India)
  • Portfolio-Oriented Projects
  • Mock Sessions With Capstone Projects
  • Live Q&A Session
  • Self-Paced & Interactive Education
  • Time-Bound Skill Development
  • Industry-Verified Certification

About The Program

Live + On demand learning

A complete hybrid learning pedagogy based on live training and on-demand training

Limited to 15 Seats

Exclusive 15 seats for seamless interactions with instructors to gain a better understanding of the topic

Global Instructor Led 32 Session

Program stretches across 32 Live interactive days for 3.5 months led by expert instructors and mentors

Practical learning

Practical and project-oriented learning that will help you to build a great project portfolio

Focus on Soft Skills

Dedicated attention towards building Soft Skills of the learners for cracking Job interviews

Reference materials and code

Access to royalty-free source code and reference materials

Outcome oriented program

Time-bound result-oriented program: Definite learning outcomes at the end of the program

Industry Verified Certification

Get awarded with an industry verified certification upon successful completion of the program

Job Assistance & Career Guidance

Exclusive interview preparation coupled with job assistance and extensive career guidance from mentors

Internship Opportunities

Get awarded with an internship opportunity with Eduonix upon completion of the Program

Live + On demand learning

A complete hybrid learning pedagogy based on live training and on-demand training

Limited to 15 Seats

Exclusive 15 seats for seamless interactions with instructors to gain a better understanding of the topic

Global Instructor Led 32 Session

Program stretches across 32 Live interactive days for 3.5 months led by expert instructors and mentors

Practical learning

Practical and project-oriented learning that will help you to build a great project portfolio

Focus on Soft Skills

Dedicated attention towards building Soft Skills of the learners for cracking Job interviews

Reference materials and code

Access to royalty-free source code and reference materials

Outcome oriented program

Time-bound result-oriented program: Definite learning outcomes at the end of the program

Industry Verified Certification

Get awarded with an industry verified certification upon successful completion of the program

Job Assistance & Career Guidance

Exclusive interview preparation coupled with job assistance and extensive career guidance from mentors

Internship Opportunities

Get awarded with an internship opportunity with Eduonix upon completion of the Program

Benefits

  • Live Classroom Learning Experience
  • Step by Step Learning from Scratch
  • Learn Basic as well as Advanced Concepts
  • Upskill with all key Technologies & Tools
  • Build Real-World Projects
  • Solve your queries in real-time with instructors
  • Time Bound Program for a Full-TIme Career
  • Get Job Ready for Trending Positions

What You Will Learn?

  • Data Science
  • Machine Learning
  • Python Programming
  • Power BI
  • Data Science Libraries & Frameworks
  • Web Scraping
  • Data Cleaning Techniques
  • Data Visualization & Analysis
  • Statistics & Probability
  • Use Cases- Data Sc & ML
  • Machine Learning Models
  • Data Manipulation - Azure
  • ML Model Deployment - Azure

Industry Insights

Data Analytics Market By 2026:
$132.90 billion
Data Scientist Avg Annual Salary:
$117,345

Top Companies Hiring Data Scientists

Ready to Learn Data Science Edegree?

Get trained with all the techniques of data science for a full-fledged data science career!

Curriculum

Syllabus

Live Training Details

How To Be A DS In 2021?
Anaconda Installation
Python Basics
For Loop, Conditional Statements, Data Types
Basics Of Visualization
Introduction To Power BI
Getting Started With Power BI
- Different Tabs/Menus
- Data Extraction
- Data Transformation 4/5 Important Functions
- Introduction To Visuals
Visual Charts
DAX Queries
Hands-On Excercise
Dashboard Building
Storytelling
Insight Generation
Case Study Generation
Data Structures
Lists, Tuples, Dictionaries, User-Defined Functions
Object-Oriented Programming
Classes & Objects
Inheritance
Numpy
Pandas - Series
Exploring Pandas - Tools for Data Analysis
Manipulating Dataframes
Data Cleaning
Data Transformation
Visualization With Python
Drawing Charts Using Matplotlib & Pandas
Data Analysis Using Pandas
Assignment Solution
Solve Coding challenge
Interview Questions Discussions
Webscrapping Using Beautiful Soup Framework
Basic Statistics
Measures Of Central Tendency
Measures Of Variability
Normal/Standard Distribution
Z-Score
P-Value & Hypothesis Testing
Introduction To ML
Types Of ML
Linear Regression - Theory
Linear Regression - Demo
Implementation Using Sci-kit Learn
Multiple Linear Regression - House Pricing Dataset
Linear Regression Using Gradient Descent Method - Theory
Bias Variance Tradeoff
Concept Of Overfitting
Logistic Regression - Theory
Confusion Metrics
Precision, Recall, Roc & AUC Curve
Logistic Regression - Basic Demo
Logistic Regression - Building Predictive Model For Customer Churn
K-Nearest Neighbours Algorithm - Theory & Demo
K-Fold Cross Validation
Grid Search & Randomized Search CV
Unsupervised Learning
K-Means algorithm
Limitations Of K-Means algorithm
Decision Trees - Theory
Gini Index
Entropy
Decision Tree - Use Case
Decision Tree - Understanding The Hyperparameters
Tuning The Hyperparameters
Ensemble Learning
Bagging & Boosting
Random Forest - Theory & Demo
Adaboost - Theory & Demo
Gradient Boosted Trees Learning Rate
Naïve Bayes Classifier
TF-IDF
Building A SPAM & HAM Classifier
Doubt Session On ML/Interview Questions
Explainable AI & Fairness
Cloud Computing - Introduction
Microsoft Azure - Overview
Azure ML- Overview
Data Ingestion & Transformation Using Azure
Building A ML Model In Azure
How To Clear Microsoft Certification In Azure?

Tools Covered

Some of the tools you will learn during this program:

Building A Consumer Store Pricing Logic

Exploratory Data Analysis

Web Scraping Using Python

Building Customer Churn Model

Customer Segmentation

Spam Classifier

Build A Machine Learning Pipeline In Cloud

Get Eduonix certificate on successful completion of this Program.

Instructors Panel

Our Panel of Instructors include

Sreemanta Kesh

Experienced Data Scientist with a demonstrated history of working in the management consulting industry. He is skilled in Python, R, SQL and well versed with various Machine Learning models. With a flair for building scalable ETL pipelines and automating them, he is also very well versed in various big data technologies, machine learning concepts and cloud frameworks (Azure) and has developed multiple projects using the same.

Rohan Aher

Rohan Aher is an experienced data analyst focused in creating data driven strategies and making sense out of raw data for multiple industries. His main skill includes data visualization along with Power BI and Tableau. He also has expertise in building end-to-end business suites along with ETL techniques using SQL/ AWS Redshift required to bring the data in shape before building dashboards.

Student Reviews

Ioannis Ballas
Teacher in Electrical Engineering And Computer Science
5/5
I am really satisfied from coaches support and Eduonix members.Trainers were really knowledgeable and willing to explain every question of the trainees
Vijayan A
Project Manager @ Amdocs
5/5
Materials, faculty and demo was really good
Umesh Ravji
Student
4.5/5
I liked the idea of having graded projects instead of just following along with an instructor coding.What I liked the most was that the videos are recorded (since I cannot make the live sessions) and you are able to refer to them later on. The smallish (approximately) weekly projects are important to me because I work better when deadlines are placed on me and that keeps me working away.
John
Hobbyist @ JLL
5/5
Thank you to the whole team at Eduonix for the great experience. I have a much better understanding of the overall process involved with launching a MEAN app, and I am inspired to keep learning.
Yannick Renner
Student
5/5
I would like to thank all the instructors and the support from the Skype group
Monica Szabo
5/5
I' m glad meeting You. Lots of thanks all of You, for support, having patience to respond to our questions and trying to clarify us such a huge subject .Best regards. Be healthy and have a wonderful life.
Jude Valerius
Fullstack @ Crux Software Development
4.5/5
Overall course was good enjoyed the instructors. Thank you to the instrcutors for the time taken to explain the material.
Anjana Yerramsetti
BigData Architect @ WHISHWORKS, a COFORGE COMPANY
5/5
PERFECT & AWESOME Team. Thank you. Eduonix Live sessions are awesome and its very punctual. Haven't seen any issues during this pandemic situation and finally completed the training.
G ANIL KUMAR
Manager @ AMPL
4.7/5
Topics covered very well. Online sessions are very nice. Trainers are good. Overall good course
Umesh
4.5/5
I think the course was a good introduction, providing a good place for further learning into its more advanced topics. Thanks
Alan Kwok
Infrastructure Developer @ JPMorgan Chase
5/5
Thank you very much Eduonix for providing such a wonderful learning experience for us. I will definitely recommend this class to others, and I will very likely participate in another live training session from Eduonix if the subject is right.
Jude Valerius
Freelancer @ Crux Software Development
4.7/5
Team Eduonix were very helpful on answering question on Skype. The instructors were good at relaying information and presenting the material in a way that you can understand.

FAQ

This program will be taught by live instructors at a fixed time slot allocated to you. You will be able to interact with the instructor and ask them questions and clear your doubts. The instructor will also ask questions and provide live feedback on the work and assignments given to you. The online session will be conducted on zoom or on a similar service.

All recordings will be available in your Eduonix dashboards for life. You can refer to them in the future whenever you want.

All certificates will be available after two weeks of the session completion. There will be multiple projects and exams which will be graded for the final certification.

You can cancel your slot within 24 hours of your payment. You will not be able to cancel your seat after that.

You can interact with the instructor during the session. We will also conduct project support and Q/A session during the week for proper assimilation.

You can contact our support team at support@eduonix.com

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