Data Science using Python

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Program Intro

Understand the Fundamentals of Data Science and Become Future-ready!

Data Science is Transforming Businesses

Data science helps businesses derive meaningful insights from data and make data-driven decisions. With tremendous advances in big data, cloud computing, and related technologies, AI will transform business processes and whole industries. Sundar Pichai observed, “Artificial intelligence is more profound than fire, electricity or the Internet.” Recently, Glassdoor listed data science at the top of its list of 50 best jobs. Demand for qualified data scientists is growing rapidly globally and in India.

Exploratory Data Analysis Using Python

Participants will learn the fundamentals of Python programming. In addition, they will learn how to analyze large datasets, prepare the data for model building, and create insightful data visualizations using Python libraries such as Numpy, Pandas, Matplotlib, and Seaborn will.

Building Predictive Models Using Python

Participants will learn how to use deep learning libraries such as Keras and Tensorflow and develop a predictive model from real-life data. They will also learn how to deploy and test models. In addition, they will learn how to build models using popular cloud computing platforms such as AWS, GCP, and MS Azure.

Program Overview

Highlights

Cutting edge content with industry examples and current case studies
Interactive virtual classes
Neuroscience-based instructional design
IIM-trained faculty with decades of industry experience
Comprehensive program workbook
Companion learning portal
Certificate of proficiency
Program content

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Program Schedule

Module I: Introduction to Data Science (3 hours)

Understanding data science and its business use cases
Machine learning algorithms and their applications
Understanding deep learning models

Module II: Python for Data Science (3 hours)

Introduction to Python programming
Hands-on exercises on arithmetic and statistical operations using Python
Exploratory Data Analysis using Python libraries
Data visualization basics

Module III: Building Data Science Models using Python (4 hours)

Understanding deep learning Python libraries, Keras and Tensorflow
Hands-on exercise on building a deep learning model using Python
Cloud-based machine learning using AWS, GCP and MS Azure

Title

Faculty profile

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COMPREHENSIVE ADDITIONAL RESOURCES

Companion Learning Portal

During the currency of the MDP, participants can access EduCentral’s learning portal that complements the live classes. Participants can take a pre-training quiz to calibrate their level of understanding of the topics covered. The learning portal helps you revise the concepts covered in the lectures. Participants can participate in a live discussion forum and access a variety of engagement tools such as games, crossword puzzles and flashcards, and practice tests to help them prepare for the final assessment.

COMPREHENSIVE ADDITIONAL RESOURCES

Program Workbook

Our program workbook is a comprehensive downloadable resource that complements the live lectures.
The workbook contains individual lesson objectives, slides used in the presentation, and lesson summaries.
It also has a list of important terms that you need to remember, links to additional resources such as articles, videos, and more!

Certificate

Assessment and Certification

Every participant who is present for 90% of the classes will get a Certificate of Participation. And participants who pass the multiple-choice, online, final test with 50% marks, will earn a Certificate of Completion.