
Sales Forecasting Dashboard
Sales Forecasting Dashboard
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
6-8 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
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
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.
8 Months
Industry Training
20+ Projects
Portfolio Development
Career Ready
Placement Support
About This Course
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
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
Each module builds practical skills in programming, analytics, visualization, machine learning, and AI through hands-on projects and real-world business datasets.
Module 1
Module 2
Module 3
Module 4
Module 5
Build Industry-Based Projects

Sales Forecasting Dashboard

Develop a predictive model to identify customers likely to stop using a service.

Create a recommendation engine that suggests movies based on user preferences.
Tools They Will Learn

pyhton

R Programming

SQL

Pandas

Seaborn

Matplotlib
Certificate
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.
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
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
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.
Testimonial Videos
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
A-1114 Siddhi Vinayak Tower, Kataria Automobiles Rd, Makarba, Ahmedabad, Gujarat 380051
Rajkot
B-925 RK Iconic Tower, 150 Feet Ring Rd, nr. Shital Park, Rajkot, Gujarat 360006
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Got questions? We've kept the answers simple, practical, and easier to scan before joining.
No. The course starts with Python fundamentals and gradually progresses to advanced Data Science and Machine Learning concepts.
You will primarily learn Python along with SQL for data analysis and machine learning applications.
Yes. You'll build industry-focused projects using real datasets, dashboards, predictive models, and machine learning applications.
Yes. The curriculum includes supervised learning, unsupervised learning, model evaluation, and deployment fundamentals.
Yes. Resume preparation, mock interviews, career guidance, and placement support are included.
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.