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Data Science Professional Program

Experience & Completion Certificate from Edjamon

Access to all program material and tool

Hurry! Limited seats available

About This Program

An intensive 3-month job-ready program covering Python, SQL, Machine Learning, and Power BI/Tableau. Build a professional portfolio with real-world projects and land your dream job with dedicated placement support.

Course Overview

This 3-month intensive program is designed to transform beginners into job-ready Data Science professionals. You will master essential tools like Python, SQL, Scikit-Learn, and Tableau through a curriculum focused on practical application. The course culminates in a capstone project to build a complete Data Science solution, ensuring you have a strong portfolio and the confidence to crack interviews.

What You Will Learn

Clean, transform, and analyze datasets using Python (Pandas, NumPy)

Run complex SQL queries to handle and manipulate data

Build and evaluate predictive Machine Learning models for regression and classification

Implement unsupervised learning techniques for customer segmentation

Create interactive dashboards and visualizations with Power BI or Tableau

Understand the basics of Natural Language Processing (NLP) for sentiment analysis

Develop a complete, end-to-end Data Science project for your portfolio

Prepare a professional resume and gain confidence through mock interviews

Hands-on Projects

Apply your learning through real-world projects that build your portfolio

Beginner

Exploratory Data Analysis (EDA) Project

Analyze a public dataset (e.g., sales, finance) using Pandas and create insightful visualizations with Matplotlib.

Technologies:

PythonPandasMatplotlib

Intermediate

Housing Price Prediction

Build, train, and evaluate various regression models to predict real estate prices based on a range of features.

Technologies:

PythonScikit-learnLinear Regression

Intermediate

Customer Churn Prediction

Develop a classification model to predict customer churn, helping businesses retain their customer base.

Technologies:

PythonLogistic RegressionRandom Forest

Intermediate

Customer Segmentation using Clustering

Apply KMeans clustering to segment customers into distinct groups for targeted marketing campaigns.

Technologies:

PythonScikit-learnKMeans

Advanced

Sentiment Analysis of Product Reviews

Use Natural Language Processing (NLP) techniques to analyze the sentiment of product reviews from sources like Twitter.

Technologies:

PythonNLTK/SpacyNLP

Advanced

Capstone: End-to-End Data Science Solution

Execute a full Data Science workflow, from data cleaning and modeling to creating a dashboard for visualization.

Technologies:

Full StackMLDashboard

Unique method to make you professionally rich

Progress through our comprehensive program which makes qualified professional to earn their awards

Bronze Award

Begin your journey with foundational skills and basic certification.

Duration: 1-3 months

Trainee

Begin your journey with foundational skills and basic certif...

1-3 months

Programmer

Advance your programming skills with intermediate level cert...

3-6 months

Developer

Become a proficient developer with advanced certification....

6-8 months

Engineer

Master engineering principles with expert level certificatio...

9-12 months

Masters

Achieve mastery with our highest level of certification....

12+ months

Course Curriculum

Technologies You Will Learn

Master the most in-demand tools and technologies for data analytics

Programming: Python (NumPy, Pandas, Matplotlib, Scikit-Learn)

Databases: SQL (MySQL/PostgreSQL)

Visualization: Power BI, Tableau

Deep Learning: TensorFlow/Keras basics

NLP: NLTK/Spacy

Tools: Jupyter Notebook, Git/GitHub

Big Data: Apache Spark (introduction)

Cloud: AWS/GCP (optional modules)

What Our Students Say

Hear from our students who have transformed their careers

"Edjamon’s Data Science Professional Course gave me the confidence to work with real-world datasets. The mentors were extremely supportive, and the projects (like churn prediction and sentiment analysis) helped me build a solid portfolio."

Priya Nair

Data Analyst Intern at Infosys

"Before joining, I only knew Python basics. Now, I can confidently build machine learning models, visualize data in Power BI, and even explain insights to non-technical people. The capstone project was the best part."

Rohit Kumar

Data Scientist Trainee

"The mock interviews and resume-building workshops helped me a lot during placement drives. Edjamon not only taught the technical skills but also prepared me for interviews. Today I am working as a Data Science Associate at TCS."

Ananya Gupta

Placed in TCS

"I liked how the program balanced theory and practice. Publishing projects on GitHub gave me confidence when applying for jobs – recruiters actually asked about my churn prediction project!"

Karthik Reddy

Junior Data Engineer

Why Choose Edjamon?

Discover the difference between Edjamon and traditional platforms

Features & Criteria	EdJAMON	Others
Duration	3 Months (intensive, job-ready)	6–12 Months (longer, self-paced)
Cost	Affordable & skill-focused (₹30k–50k range)	Expensive (₹1.5 Lakhs and up)
Placement Support	Resume prep, mock interviews, direct support	Certification only, limited job support
Projects	Real-time GitHub projects & capstone	Generic projects, less focus on portfolio building
Tools Covered	Python + SQL + ML + Power BI/Tableau	May focus on fewer tools or lack visualization
Learning Format	Live classes, mentor support, hands-on labs	Mostly self-paced videos or large group sessions

Job Roles After Program

Explore exciting career opportunities

Data Analyst

Business Analyst

Junior Data Scientist

Machine Learning Engineer (Entry Level)

Data Engineer (Entry Level with SQL/ETL focus)

AI/ML Associate

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