
MICRO DEGREE
Data Science Using Python
Data Scientist
100% LIVE Interactive Classes
Data Scientist

100% LIVE Interactive Classes
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Basic Info
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Application closes on:11 May 2026
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100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Classes
Hands-on Classes
Hands-on classes to enhance your learning experience
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Basic Info
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Application closes on:11 May 2026
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Available in 4 monthly installments at $103/month
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Curriculum
Duration: 12 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- Introduction to Data Analysis: Lifecycle, Tools & Real-World Applications
- NumPy Arrays: Creation, Indexing, Slicing & Broadcasting
- Mathematical Operations & Statistical Functions with NumPy
- Array Manipulation: Reshaping, Stacking, Splitting & Transposing
- Performance Optimization: Vectorization vs Loops
- Hands-on: Financial Data Analysis - Calculate Returns, Moving Averages & Portfolio Statistics
Mentors

10+ Years, Tech Leader, Tiger Analytics

18+ Years, Sr. Architect, Microsoft
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Includes

LIVE Interactive Sessions

Quizzes, Assignments & Projects

Study Materials & Session Recordings

Certificate
Course Pre-requisites
Basic Python programming (variables, loops, functions, data structures)
Familiarity with basic mathematics and statistics (mean, median, standard deviation)
Comfort working with files and the command line
Outcomes
Analyse and manipulate large datasets using NumPy arrays and vectorized operations
Build end-to-end data pipelines using Pandas for cleaning, transforming, and merging data from multiple sources
Implement exploratory data analysis (EDA) techniques to uncover patterns, trends, and anomalies in real-world datasets
Create compelling static and interactive visualizations using Matplotlib and Seaborn
Design and evaluate machine learning models for regression, classification, and forecasting using Scikit-learn
Perform time series analysis including resampling, rolling windows, trend analysis, and feature engineering
Build predictive models on financial and e-commerce datasets and interpret results for business decision-making
Optimize data processing performance through vectorization, memory management, and efficient data type usage
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
E-commerce Sales Analysis & Reporting
Clean, transform, and analyze a multi-source e-commerce dataset using Pandas. Merge customer, product, and transaction data to create comprehensive summary reports with GroupBy aggregations, pivot tables, and interactive visualizations that reveal purchasing trends and customer segments.
Stock Market Time Series Analysis & Forecasting
Perform end-to-end time series analysis on historical stock market data using NumPy and Pandas. Calculate financial returns, moving averages, and portfolio statistics, then engineer lag features and build a predictive forecasting model to identify market trends and inform trading strategies.
Customer Database Integration & EDA Dashboard
Integrate multiple customer databases from CSV, Excel, JSON, and SQL sources into a unified dataset. Apply advanced data wrangling techniques including missing data imputation, string processing, and type optimization, then conduct a full exploratory data analysis with Matplotlib and Seaborn visualizations to present actionable business insights.

for successfully completing the 'Data Science Using Python' course conducted from 15 Feb 2026 to 10 May 2026
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Networking
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Opportunities
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for successfully completing the 'Data Science Using Python' course conducted from 15 Feb 2026 to 10 May 2026

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Looking for help? Here are our most frequently asked questions
What is a EdYoda Micro Degree?
EdYoda Micro Degree is an online, Live classroom based short-term course, where you get Live Sessions conducted by industry experts. It is designed to help you acquire practical & job-relevant skills quickly.
How do I register for the micro degree?
To register, visit the micro degree details page and fill up the registration form and make the payment to reserve your seat before the application closing date.
What happens after I register and pay?
After successful registration and payment, you will receive a confirmation email with instructions on how to access the online micro degree classes
Are there any pre-requisites?
All you need is a PC or Laptop to attend the online live classes and your commitment of 4 weeks. Apart from that there are no prerequisite for the Micro Degree.
What if I miss a live session?
We've got you covered! The session recording will be added automatically on the classroom platform after the session is ended.
Will I get a certificate after completion?
Yes. After successful completion of curriculum you will be provided a digital certificate which you can download and share with others.

What is a EdYoda Micro Degree?
EdYoda Micro Degree is an online, Live classroom based short-term course, where you get Live Sessions conducted by industry experts. It is designed to help you acquire practical & job-relevant skills quickly.

How do I register for the micro degree?
To register, visit the micro degree details page and fill up the registration form and make the payment to reserve your seat before the application closing date.

What happens after I register and pay?
After successful registration and payment, you will receive a confirmation email with instructions on how to access the online micro degree classes

Are there any pre-requisites?
All you need is a PC or Laptop to attend the online live classes and your commitment of 4 weeks. Apart from that there are no prerequisite for the Micro Degree.

What if I miss a live session?
We've got you covered! The session recording will be added automatically on the classroom platform after the session is ended.

Will I get a certificate after completion?
Yes. After successful completion of curriculum you will be provided a digital certificate which you can download and share with others.


