Course Details

Learn from IIT Faculty, Industry Experts & Campus Immersion at IIT Roorkee* (T/C Apply).

Comprehensive Data Science for Beginners

Course Objectives:

To make the participants understand the fundamentals of Python Programming and concepts related to its application in the world of Data Science.
To make the participants learn important Data Analytics skills like Data cleaning and preprocessing; Data visualization etc. using different Python libraries.
To make the participants understand the fundamentals of machine Learning, its applications, and its types in detail.
To make the participants well-versed in using a range of Machine Learning Algorithms/Models along with their strengths and weaknesses.
To provide fundamental knowledge on advanced topics like Deep Learning and Artificial Neural Networks

Batch Details: Class Timings: 6:30 pm – 8:30 pm (Tues-Thurs-Saturday)
Duration: 10 Weeks
Start Date: 6th Feb 2024 - End Date: 13th April 2024
Mode: Online (ILT over Zoom/Webex/GMeet)
Certification: Globally accepted
Last Date to Register: 5th Feb 2024

Course Fee: Students/PhD Scholars/RA/JRF/SRF/Postdoc fellows: Rs. 8000/-
Faculty/Working Professional: Rs. 10,000/-

Link to Register https://rzp.io/l/ComprehensiveDataScience

About the Course:
Data Science is an interdisciplinary domain that is currently the most sought-after subject across the learners hailing from diverse backgrounds of Science/Technology/Management/Humanities, owing to its wide range of applications in the industry and research fields. Python is the programming language that is extensively used in the world of Data Science. Therefore, this course is designed for students/researchers/faculties/working professionals in such a way that they can first learn the fundamentals of Python and the use of its libraries in the world of Data Analytics. It will be followed by a detailed course on Machine Learning starting from scratch. It will make the participants efficient in using Python Libraries and Machine Learning models for various Data Science applications. Finally, there will be a deliberation on advanced topics like Deep-Learning and Artificial Neural Networks. The skills acquired from this course along with the certification will enhance the skillsets of the participants and will open doors to exciting career prospects in the world of Data Science.

Benefits and Program deliverables: • A digital toolkit of PPTs/software packages and study material for all participants
• Interact with the experienced Industry training expert to work on real-life challenges
• Complete Recording of the Classes on a daily basis
• An opportunity to exchange ideas and thoughts with students participating from colleges PAN India IITs, NITs, and Reputed Universities
• Small batches for one-to-one interaction and individual doubt sessions
• Live demonstration of topics and practical's is included to ensure that the candidate can get hands-on exposure

Prerequisites and eligibility:
• No coding experience required. We’ll start from scratch.
• This course can be taken up by any undergraduate/postgraduate student of Basic & Applied Sciences, Engineering, Computer Applications, and Business Administrations and also by Research Scholars/Faculties/Working Professionals who want to upskill themselves
• Participants need to have a laptop/PC (with a minimum of 4 GB RAM, 100 GB HDD, Intel i3processor) and proper internet/Wi-Fi connection.

Contact Person: Dr. Subrat Kotoky
rbpl.edu@gmail.com
9085317465/8473874389

Expert Profile: Mr. Shreyas Shukla
Professional Corporate Trainer & Microsoft Azure Certified Data Engineer
M.Tech-IIT Kharagpur & BE- The Aeronautical Society of India, New Delhi
1. DP-203: Microsoft Certified: Azure Data Engineer Associate
2. DP-900: Microsoft Certified: Azure Data Fundamentals
3. AZ-900: Microsoft Certified: Azure Fundamentals

Our Students Rate This Course

4.5

Trainer

Mr. Shreyas Shukla

Program Fee

Rs 8000/- to Rs.10,000

Available Seats

100

Schedule

6:30 pm – 8:30 pm (Tues-Thurs-Sat)

Only Few Seats Left

What is included in this course?

Program Certificate form iHUB DivyaSampark, IIT Roorkee
Live & Self Paced learning for better engagement
No repetitive calls, only as per convenience
Opportunity to meet your mentors through Campus Immersion
25+ hand-on project with integrated labs

Apply Now To Secure a Seat!

Reviews

Testimonials

Module

1

-Basics of Python Language

- Python objects with details of shell/numbers/variables etc.

- Python for Data cleaning and preprocessing using Pandas

- Python for Data visualization & Graphical plotting using libraries like Matplotlib & Seaborn

- Hands-on project to demonstrate the use of Python for Data Analytics, splitting Data into train & Test set, features scanning

Module

2

- Machine Learning Basics, introduction to supervised & unsupervised learning

- Linear Regression for One and Multiple Variables, Cost Function & Gradient Function

- Ordinary Least Square, Dummy Variables, One Hot Encoding, Polynomial Regression

- Anscombe’s quartet, Performance Metrics like Mean Absolute Error, Root Mean Squared Error, - Regularization (Ridge & Lasso)

Module

3

- Logistic Regression, Sigmoid Function, Anscombe’s quartet

-Confusion Matrix, Interpreting parameters like F-1 score, Accuracy, Precision, Recall etc.

- Bias-variance trade off, Overfitting, Underfitting of Models

-K- nearest neighbors (KNN), Elbow Method

-Distance Metric in KNN

Module

4

- Understanding Support Vector Machines using Hyperplanes, Maximum Margin Classifier

- Higher Dimension Transformation and Projection, Kernels :: Polynomial, RBF etc.

- Decision Trees, Nodes: Root, Leaf, Parent, Children. Tree Pruning, Gini Impurity

- Random Forests, Ensemble Learners, Information Gain

- Hands-on Projects

Module

5

Unsupervised Learning

- K Means Clustering

-DBSCAN, Core, Border & Outlier

- Principal Component Analysis (PCA) and Recommender Systems

- Natural Language Processing (NLP), Count Vectorization, Extracting Features From Text Data, Term Frequency -Inverse Document Frequency (TF-IDF) , Document Term Matrix (DTM)

Module

6

-Introduction to Deep Learning

- Artificial Neural Networks

-Perceptron Model, Activation Functions

- Forward and Backward Propagation

-Keras vs TensorFlow

-Convolutional Neural Networks, Pooling Layers, Convolutional Layers

-Model Selection, K-fold cross validation, Grid search

NEWS & UPDATES

Career Transitions

Mahesh Chawdhary

Data Scientist | Hyderabad

Today, I am a certified data scientist, and this happened after I enrolled in this data science course. It covers all the necessary concepts and techniques in lucid language. I am thankful to iHUB Divyasampark for giving me this chance at career growth.

55% Average Salary Hike

$1,27,000 Highest Salary

800+ Career Transitions

300+ Hiring Partners

Who Can Apply for the Course?

• This course can be taken up by any undergraduate/postgraduate student of Basic & Applied Sciences, Engineering, Computer Applications, and Business Administrations
Also by Research Scholars/Faculties/Working Professionals

About Program

This program by iHub Divya Sampark, IIT Roorkee helps you gain the data analytics, machine learning, and artificial intelligence skills sought after by top employers.