Rs. 8000/- to Rs.10,000/-
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
Trainer
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
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.
Key Highlights
Our Alumni Work At
What is included in this course?
- Non-biased career guidance
- Counselling based on your skills and preference
- No repetitive calls, only as per convenience
- Rigorous curriculum designed by industry experts
- Complete this program while you work
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