FDP on Data Science at NITTTR, Chandigarh in collaboration with IBM
mala kalra
It gives me immense pleasure to inform you that CSE department, NITTTR Chandigarh is going to organize an AICTE Recognized FDP on Data Science Unleashed: Ignite Your Analytical Skills in collaboration with IBM from 27 May 2024 to 31 May 2024 for Technical Teachers/Staff/Research Scholars of AICTE approved Engineering colleges/ Polytechnic colleges of India.
Registration and Certification Fee:
1. For Faculty/Technical Staff/ Research Scholars from AICTE approved technical institutions (Engineering & Polytechnic), the Course fee is Rs. 118/- including 18% GST.
2. The participants from Industry/Educational Institutions (other than Technical Institutes) may attend this course after paying a course fee of Rs. 5000 + 18% GST i.e. Rs.5900.
3. Registration and Certification Fee is Non-Refundable.
To get the certificate of participation, a minimum of 80% Attendance is required in the course.
Detailed Contents
Day 1: Data Science Overview
● Data Science Landscape, domains and roles.
● Data Science Methodology
● Data Science on the Cloud
● An integrated environment for Data Science projects
● Cloud-based Data Science Lifecycle
● Data Science capabilities on the cloud
● Overview of Panda and NumPy Libraries
● Data science life cycle and roles
● Explore and Prepare Data
● Business understanding
● Explore data
● Prepare data
● Understanding data
LAB
● Creation of IBM Cloud & IBM WATSON Studio.
● Explore IBM Watson studio.
Day 2: Represent and Transform Data
● Statistics and representation techniques
● Data transformation
● Patterns with data representation.
● Represent and transform unstructured data
● Data transformation tools
● Data Visualization and Presentation
● Fundamentals of visualization
● Common Graphs
● Accuracy, precision and recall
● Model Deployment
LAB
● Working on Python IDLE For analyzing the data using Numpy & Pandas Library
Day 3: Data Modeling Techniques
● Machine Learning Algorithms
● About Machine Learning
● From Regression to Neural Nets
● Decision Tree Classifier
● Machine Learning Framework
● Understanding of catalog on IBM Cloud.
● Overview of Watson Studio service and PAK for data
● Exploring and Preparing data
● Provision Watson Studio Service
● Import data set into assets
● Understanding about collaborators
● Apply Operations and formulas to the dataset.
LAB
● Case Study on Auto Insurance & HR Attrition Data Set
Day 4: Data Visualization
● Understanding of matplot libraries.
● Visualize preliminary data
● Visualize data on Watson studio
● Create a new project in Watson Studio
● Create Jupyter Notebook environment
● Import dataset into Pandas data frame
LAB
● Visualization on Data with IBM Watson Studio
● Visualizing data using Matplotlib Library
Day 5: Data Prediction using AUTO AI experiment
● Create a new Watson Studio Project
● Import fraud dataset to assets
● Perform Data Cleansing and transformation
● Apply various machine learning models
● Creation of Pipelines
● Conclude which model gives best prediction.
● Test the model by creating spaces, jobs and deployment.
LAB
● Predicting data using AUTO AI.
For any other query, you may contact the undersigned.
Assistant Professor
Department of Computer Science and Engineering
Loyola College Jerald Inico
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J. Jerald Inico M.Sc., M.C.P., M. Phil., Ph. D.,
Head of the Department & Assistant Professor,
Department of Computer Science and Applications,
LOYOLA COLLEGE,
CHENNAI - 34.
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