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General Demo

Duration
1 Hour
Level
All
Cost
FREE (1 Session)

Key Outcomes

Book Your Free Demo

Register for a free 1-on-1 demo session.

Selected Course

General Demo

Duration
1 Hour
Level
All
Cost
FREE (1 Session)

Key Outcomes

Courses/Data Science

Data Science

A complete end-to-end Data Science program using Python. Master data wrangling, exploratory data analysis, statistical modelling, machine learning algorithms, and data visualization. Build real-world projects using Pandas, NumPy, Matplotlib, Scikit-learn, and more — and graduate with a job-ready portfolio.

4.8(32+ ratings)
320 students
English
Last updated 12/2024
Support Me Techs Team

Created by

Support Me Techs Team

Course preview 1
2
View Syllabus
Duration
12 Weeks
Lectures
24 Modules
Level
Beginner to Advanced
Certificate
Included

Professional Certification Included

Successfully complete the Data Science program to earn an industry-recognized certificate of completion.

Shareable on LinkedIn
Career Milestone

Guaranteed Outcomes

People don’t buy lectures — they buy results.

Job-Ready ML Skills

Graduate with hands-on experience in the exact tools and workflows used by Data Scientists in industry.

End-to-End Project

Complete a capstone project covering data ingestion, cleaning, modelling, evaluation, and presentation.

Interview Preparation

Practice data science interview questions, case studies, and coding challenges.

Specific Skills You'll Master:

Python programming fundamentals & environment setup
Data wrangling & cleaning with Pandas & NumPy
Exploratory Data Analysis (EDA) & statistical analysis
Data visualization with Matplotlib & Seaborn
Supervised learning: Regression, Classification, Decision Trees, Random Forest
Unsupervised learning: K-Means Clustering, PCA
Model evaluation, cross-validation & hyperparameter tuning
Introduction to Deep Learning & Neural Networks
Real-world capstone project with end-to-end ML pipeline
Interview preparation & portfolio building

Technologies Covered

PythonPandasNumPyMatplotlibSeabornScikit-learnTensorFlowJupyter Notebook

How You'll Learn

Live Sessions

Join expert-led classes via Zoom / Meet. Real-time doubt clearing.

Session Recordings

HD recordings of every session.

Hands-on Work

Weekly assignments and industry-grade portfolio projects.

Weekly Roadmap

Structured learning cadence to ensure consistent progress.

Meet Your Instructor

Support Me Techs Team
Top Rated

Support Me Techs Team

Senior Technical Mentor

Learners

600+

Rating

4.8

Courses

5

Professional Journey

8+ Years in Data Science & Machine Learning

Tech Stack Expertise

PythonPandasNumPyScikit-learnTensorFlowMatplotlibJupyter

Major Milestones

  • Retail Sales Forecasting
  • Customer Churn Prediction
  • NLP Sentiment Analysis

Course Content & Outcomes

6 lectures • 12 Weeks total length

Write clean, efficient Python for data analysis

01

Perform full exploratory data analysis on any dataset

02

Build and evaluate supervised & unsupervised ML models

03

Create publication-quality data visualizations

04

Deploy an end-to-end machine learning pipeline

05

Build a GitHub portfolio with real-world DS projects

06

Requirements

  • Basic understanding of programming concepts
  • A computer with internet access
  • No prior professional experience required
  • Passion for learning and building!

Secure Your Spot

Fill in your details to begin your journey.

Selected Course

Data Science

Duration
12 Weeks
Level
Beginner to Advanced
Certificate
Included

Key Outcomes

Job-Ready ML Skills
End-to-End Project
Interview Preparation

Book Your Free Demo

Register for a free 1-on-1 demo session.

Selected Course

Data Science

Duration
12 Weeks
Level
Beginner to Advanced
Cost
FREE (1 Session)

Key Outcomes

Job-Ready ML Skills
End-to-End Project
Interview Preparation