Sales Forecasting Dashboard
Sales Forecasting Dashboard
JOPJob-Oriented Program
Data Science Course
Master Data Science through practical learning, real-world datasets, machine learning projects, and expert mentorship to build a successful data-driven career.
Total Duration
10 Months
Track
6–12 Months
Learning Style
Practical + Project-Based
Hands-on Learning
Learn with real datasets, practical assignments, and industry case studies.
Project Portfolio
Build end-to-end Data Science and Machine Learning projects for your portfolio.
Expert Mentorship
Get personalized guidance, project reviews, and career preparation support.
Program Key Highlights
Build In-Demand Data Science Skills Through Practical Learning and Real-World Projects
This Data Science program combines Python, SQL, statistics, data visualization, machine learning, and AI into a structured learning journey. Work with real business datasets, build industry-focused projects, and gain practical experience using modern data science tools with expert mentorship and placement support.
250+
Hours of hands-on Data Science training
20+
Real-world projects and business case studies
1:1
Mentor guidance and career support
Portfolio
Industry-ready Data Science portfolio
50+
Live mentor-led sessions
100+
Practical assignments & datasets
Career
Placement & interview support
Why Learners Relate To This Program
Master Data Science through real-world projects, expert mentorship, and industry-standard tools.
Learn Python programming for data analysis and machine learning.
Master SQL for querying and managing large datasets.
Build strong foundations in statistics and probability
Perform data cleaning, preprocessing, and feature engineering.
Create interactive dashboards using Power BI and Tableau.
Develop machine learning models using Scikit-learn.
Understand supervised and unsupervised learning techniques.
Work with real-world business datasets and case studies.
Build portfolio-ready Data Science and AI projects.
Receive resume building, mock interviews, and placement support.
10 Months
Total duration
20+ Projects
Portfolio Development
Career Ready
Placement Support
About This Course
Master Data Science Through Practical Learning, Real-World Projects, and AI-Powered Analytics
This Data Science program is designed to help learners develop strong analytical and problem-solving skills using real-world datasets and industry-standard technologies.
Learn Python, SQL, statistics, data visualization, machine learning, and artificial intelligence through a structured, project-based curriculum.
Work on real business case studies, predictive analytics, dashboards, and machine learning models to gain practical industry experience.
Build a professional portfolio, receive expert mentorship, participate in mock interviews, and prepare for high-demand Data Science careers with placement support.
Eligibility
Who can confidently start this path
12th Pass or Graduate
Basic Computer Knowledge
No Prior Data Science Experience Required
Students & Fresh Graduates
Working Professionals Looking to Upskill
Anyone Interested in Data Analytics, AI, and Machine Learning
Course Curriculum
Master Data Science Through a Structured Learning Roadmap
Each module builds practical skills in programming, analytics, visualization, machine learning, and AI through hands-on projects and real-world business datasets.
Module 1
Phase 1: Programming Fundamentals
+−
Module 1
Phase 1: Programming Fundamentals
- Introduction to Data Science
- Python Basics
- Variables & Data Types
- Operators & Control Statements
Module 2
Phase 2: Data Analysis
+−
Module 2
Phase 2: Data Analysis
- NumPy Fundamentals
- Pandas DataFrames
- Data Cleaning
- Data Transformation
- Exploratory Data Analysis (EDA)
- SQL querying and joins
- Statistics and probability foundations
Module 3
Phase 3: Data Visualization
+−
Module 3
Phase 3: Data Visualization
- Matplotlib
- Seaborn
- power BI
- Tableau
Module 4
Phase 4: Artificial Intelligence
+−
Module 4
Phase 4: Artificial Intelligence
- AI Fundamentals
- Feature Engineering
- NLP Basics
- AI Case Studies
- Supervised learning: regression and classification
- Unsupervised learning: clustering
- Model evaluation and validation
Module 5
Phase 5: Deployment & Career Preparation
+−
Module 5
Phase 5: Deployment & Career Preparation
- Model Deployment
- Git & GitHub
- Portfolio Development
- Mock Interviews
- Placement Preparation
Build Industry-Based Projects
Build Real-World Data Science Projects Using Industry Datasets and Machine Learning
Customer Churn Prediction
Develop a predictive model to identify customers likely to stop using a service.
Movie Recommendation System
Create a recommendation engine that suggests movies based on user preferences.
Tools They Will Learn
Master Industry-Standard Data Science, Analytics, Machine Learning, and Visualization Tools
Programming Languages
Python
R Programming
SQL
Pandas
Seaborn
Matplotlib
Certificate
Earn a course completion certificate you can proudly showcase
Receive a professional Data Science course completion certificate that validates your practical skills in Python, SQL, data analysis, visualization, and machine learning through real-world projects.
Recognized Proof of Learning
A professional certificate that validates your practical Data Science and Machine Learning skills. Portfolio Enhancement Add your certificate to your resume, LinkedIn profile, and professional portfolio. Industry Recognition Showcase your expertise through practical projects and hands-on learning experience. Interview Confidence Demonstrate verified skills and project experience during technical interviews.
Certificate Type
Training Completion
Track
Job-Oriented Program
Duration
10 Months
Job Scope After Course Completion
Career paths in Data Science and Analytics
Data Scientist
Data Analyst
Business Analyst
Machine Learning Engineer
AI Engineer
Business Intelligence Analyst
Data Engineer
Analytics Consultant
Research Analyst
Python Developer
Data Visualization Specialist
Junior AI Engineer
Companies Hiring For These Skills
Leading Product Companies, IT Services, Startups, and Analytics Firms Hire Data Science Professionals
Technology companies, consulting firms, financial institutions, healthcare organizations, e-commerce platforms, startups, and enterprise businesses actively hire Data Science professionals to analyze data, build predictive models, and develop AI-driven solutions.
Student feedback
Hear from our students
Explore More Reviews
Sc
Rahul Patel
Data Science
Learning Python, SQL, Power BI, and Machine Learning through practical assignments made complex topics easy to understand. My portfolio projects helped me perform confidently in interviews.
Centres In Gujarat
Ahmedabad & Rajkot centers with guidance support
Ahmedabad
Ahmedabad Learning Center
A-1114 Siddhi Vinayak Tower, Kataria Automobiles Rd, Makarba, Ahmedabad, Gujarat 380051
Rajkot
Rajkot Learning Center
B-925 RK Iconic Tower, 150 Feet Ring Rd, nr. Shital Park, Rajkot, Gujarat 360006
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Frequently Asked Questions
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Fees and enrollment terms
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Schedule and equipment
Confirm the next batch, weekly timetable, session length, branch and mode availability, teaching language, and laptop or software requirements with admissions.
Career support
Ask which resume reviews, interview practice, and referral support are included, along with eligibility and the support period. Placement assistance does not guarantee a job.