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Home /Artificial Intelligence /Workshop /Data Science and Analytics Using Python

Artificial Intelligence · Workshop

Data Science and Analytics Using Python

Master Python for Data Science: From Data Cleaning to Predictive Analytics

ModeVirtual (Google Meet)
LevelAdvanced
Fee₹1,499

Batch Enroll More Workshop

Recording available

2024-09-23

Mentor Based
English

Get Recording Access

Delivery Mode

Virtual (Google Meet)

Level

Advanced

Certificate

Mentor Based

Language

English

Rating

4 Stars

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About Workshop

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.

What Participants Will Learn

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.

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

Important Dates

Workshop Dates

2024-09-23

5 PM

5 PM

What You Will Gain

Sample Certificate

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.

Who Should Attend

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

Dr. G Poornima

Assistant Professor

Speciality: Data Preprocessing, EDA, Data Visualization, Predictive Modeling, Python Programming

Live sessions have concluded.

This workshop is now available as a recording: full session videos and course materials, with lifetime access. Live mentorship and the Q&A sessions are not included.

Get Recording Access

Recording Access

Recording Access

₹1499 | $40

Start Date2024-09-235 PM
End Date2024-09-25
Registration Starts5 PM
LanguageEnglish

Batch Enrollment More Workshop

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