This three-day course covers essential data science techniques using Python, from data cleaning and EDA to advanced data visualization and predictive analytics. Participants will gain hands-on experience with Python libraries such as Matplotlib and Seaborn and will develop predictive models to analyze business data effectively.

Aim

To equip PhD scholars and academicians with advanced skills in data science and analytics using Python. This course focuses on data preprocessing, exploratory data analysis (EDA), data visualization, and predictive analytics, culminating in a capstone project that applies these skills to solve real-world business problems.

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Workshop Objectives

Master data preprocessing and cleaning techniques.
Perform exploratory data analysis using Python.
Create advanced visualizations to communicate data insights.
Develop predictive models to solve business problems.
Apply data science techniques to real-world datasets.

Workshop Structure

Day 1: Data Preprocessing and Exploratory Data Analysis (EDA)

Data Cleaning Techniques
- Handling missing data, outliers, and data transformation
- Using Python libraries like Pandas for data manipulation
EDA with Python
- Techniques for summarizing and visualizing data
- Identifying trends, patterns, and anomalies in datasets

Day 2: Data Visualization Tools (Matplotlib, Seaborn)

Visualizing Data Insights
- Creating informative and aesthetically pleasing visualizations
- Using Matplotlib and Seaborn for various types of plots
Hands-on Visualizations
- Interactive sessions creating visual reports
- Best practices for data storytelling with visualizations

Day 3: Predictive Analytics with Machine Learning

Introduction to Predictive Modeling
- Supervised learning techniques (e.g., regression, classification)
- Building and evaluating predictive models with Python
Capstone Project: Solving a Business Problem with Data
- Applying all learned skills to a real-world business problem
- Presenting the solution with actionable insights

Participant’s Eligibility

Data scientists, analysts, researchers, and academicians in data science and related fields.

Important Dates

Registration Ends

2024-09-22
Indian Standard Timing

Workshop Dates

2024-09-23 to 2024-09-25
Indian Standard Timing 5 PM

Workshop Outcomes

Proficiency in Python for data preprocessing and exploratory analysis.
Ability to create advanced data visualizations using Matplotlib and Seaborn.
Competence in building and evaluating predictive models with Python.
Hands-on experience in solving real-world business problems with data science.
Enhanced skills in communicating data insights effectively.

Mentor Profile

Name: Dr. Galiveeti Poornima
Designation: Assistant Professor
Affiliation: Presidency University, Bengaluru, SJCIT , Chikkabalapur, IIITB, Bengaluru

Dr. Galiveeti Poornima is a distinguished academician and researcher specializing in Machine Learning (ML) and Deep Learning. With a Ph.D. in Computer Science from Presidency University, Bengaluru, she has devoted her research to pioneering advancements in Signed Language Recognition, particularly for Indian Sign Languages. Her expertise extends to the application of ML and AI in healthcare, IoT, and cybersecurity, where she has contributed significantly to the development of intelligent systems for medical diagnostics and social media analytics.

Fee Structure

Student

INR. 1499
USD. 40

Ph.D. Scholar / Researcher

INR. 1999
USD. 45

Academician / Faculty

INR. 2999
USD. 50

Industry Professional

INR. 4999
USD. 75

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies

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Access to Live Lectures
Access to Recorded Sessions
e-Certificate
Query Solving Post Workshop

Future Career Prospects

Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Data Engineer
Research Scientist in Data Science

Job Opportunities

Technology companies
Financial services
Healthcare analytics firms
E-commerce and retail companies
Research institutions
Government agencies

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