PROJECT 01
Retail sales analysis with an interactive dashboard
Example hands-on exercise
DATA SCIENCE
Data Science.
Explore datasets, apply statistics, and turn raw information into useful insights using Python.
PythonPandasStatistics
Bangalore, Karnataka, India · Request fees, duration & batch timings
01 / LEARNCore concepts
Understand the foundations
02 / PRACTICEApplied exercises
Work with practical examples
03 / BUILDProject ideas
Explore hands-on workflows
PROGRAM OVERVIEW
What you could learn.
A suggested progression of topics for Data Science. The final lesson plan can be confirmed with the institute before enrollment.
01Python for data analysis and notebook workflows
02Data cleaning with NumPy and Pandas
03Exploratory data analysis and visualization
04Descriptive statistics and probability essentials
05SQL queries and data preparation
06Presenting insights with dashboards and reports
Recommended starting point
Basic computer skills; Python fundamentals are helpful but can be learned alongside the course.
PRACTICAL LEARNING
Learning outcomes.
Explore the capabilities this course aims to develop.
Prepare, explore, and visualize real datasets
Select appropriate statistical techniques
Explain findings clearly to a non-technical audience
PORTFOLIO PRACTICE
Project ideas.
Examples of practice projects that could support the learning journey.
PROJECT 02
Exploratory analysis of an open public dataset
Example hands-on exercise
LET'S CONNECT
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