Courses/Data Science

Data ScienceBestseller

Data Science with Python

Name: Data Science with Python
Rating: 0 (0 reviews)

Complete data science foundation with Python, statistics, and data analysis.

New course — be the first to review45 DaysIntermediateHindi + English

Sashank Mishra

Python Backend Developer

Overview

Learn the complete data science workflow â€” Python programming, statistics, data wrangling, visualization, and storytelling with data.

Skills You'll Learn

Python

Statistics

Data Wrangling

Data Visualization

Storytelling

Prerequisites

No prior experience needed

Course Roadmap

Module 1

Modules 1–2: Python for Data Science → Data Visualization

The daily toolkit of a data scientist. Communicate findings clearly.

Module 2

Modules 3–4: Statistics for Data Science → Exploratory Data Analysis

The statistical foundation behind every insight. Understand a dataset before modeling it.

Module 3

Modules 5–6: Introduction to Machine Learning → Feature Engineering

Bridge from analysis to prediction. Where good data science pays off.

Module 4

Modules 7–8: SQL for Data Scientists → A/B Testing & Experimentation

Pull your own data from real databases. Make data-driven product decisions.

Course Curriculum

8 modules · 6 quizzes

NumPy & Pandas deep dive
Data cleaning workflows
Jupyter workflow best practices

Matplotlib & Seaborn
Plotly for interactive charts
Storytelling with data

Descriptive statistics
Probability distributions
Hypothesis testing

EDA workflow
Outlier detection
Correlation analysis

Regression & classification basics
Train/test methodology
Model evaluation

Encoding & scaling
Handling missing data
Creating meaningful features

Querying data for analysis
Joins & aggregations
Connecting SQL to Python

Designing an experiment
Statistical significance
Common pitfalls

Projects

Exploratory Data Analysis Report

A full EDA report on a real-world dataset with actionable insights.

PythonPandasSeaborn

Sales Forecasting Model

A simple time-series forecast for a retail dataset.

PythonTime Series

A/B Test Analysis

Analyze a real A/B test dataset and report significance.

PythonStatistics

Assignments

Pandas Data Cleaning Drill

Easy

10 real-world data cleaning exercises.

EDA on a New Dataset

Easy

Perform and document a full EDA on an unseen dataset.

Hypothesis Testing Exercise

Medium

Run and interpret 3 hypothesis tests.

SQL Query Practice

Medium

10 analytical SQL queries against a sample database.

Build a Simple Forecast

Hard

Forecast next-month values for a time series dataset.

Meet Your Instructor

Sashank Mishra

Python Backend Developer

1+ Years of Experience python backend, Flask, Django, MongoDB, SQLite etc.

Certificate You'll Earn

CERTIFICATE ID: LNTRN-UPSK-000000

Your Name Here

Successfully completed the Data Science Certificate at Lunetron Web Services. We appreciate their dedication and wish them success in their career.”

ISSUING DATE - 27TH MARCH, 2026

Certified data science professional.

Student Reviews

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.

Aarush Rai

B.Tech / AI-ML

I liked the hands-on approach of the training. Working on assignments and mini projects made the concepts easier to understand, and the AI/ML introduction was a useful addition to the course.

Divyanshu Mishra

B.Tech / AI-ML

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.