Data Science: Transforming the World, One Data Point at a Time.
“Data Science Made Simple: Learn, Apply, and Excel in the World of Analytics”
Next Batch starts: 1st sept 2023
Limited seats available
Program Duration: 6 - 7 months
15 to 20 hours a week
Learning Format
Recorded Lectures + Online Live Classes
Tools & Languages you'll Learn
Dive into the World of data Science Programming, Master its Syntax, Libraries, Frameworks, and Build Robust Applications with Confidence.
How will your journey be structured?
Beginning of the batch
- access the dashboard and finish the plan
- access to recorded videos of lecture
- Each week, there is a live mentoring session.
- introduction with the program's head mentor
- Access Practise Exams
- The length of each live session will be one hour.
Learn the necessary frameworks, languages, and tools.
- Online classes
- Learn how to use tools that are widely used in the business.
Complete excellent real-world projects.
- Predictive Maintenance in Manufacturing
- Customer Churn Analysis in Telecom
- Fraud Detection in Financial Services
- Sentiment Analysis in Social Media
- Personalized Recommendation Systems
Get Placement After Completing course
- Launch Your Data Science Career: Gain In-Demand Skills and Land Top Industry Placements with Our Courses
- Unlock Your Career Potential: Secure High-Paying Data Science Jobs with Our Course
Certified Data Science Training
- Get a certificate of completion after finishing projects, assignments, and mock tests.
Mentors & Instructors
Industry Development
a million new jobs or more
By 2022, a Full-Stack Developer profile will be developed.
30% Yearly Growth
for Full-Stack Developer positions by 2022
Industry Development
What will you be when the Full stack course is over?
Deploy your project to Production
Get a live project.
Consult industry professionals
Course Duration
6 Month
Level
Beginner and intermediate
Program Syllabus
By speaking with the top organisations, we were able to determine which talents the industry now values the most and how to reverse engineer our curriculum.
Obtain a live project.
Obtain a live project.
Work with industry professionals while experiencing the agile technique.
Project deployment to production
Still confused! Leave your contact information and our academic counselling specialist will call you back.
Our Students Review
FAQ
Data science is the field that uses scientific methods to extract insights from data.
Data scientists need skills in programming, statistics, machine learning, data visualization, and domain expertise.
The typical workflow involves problem definition, data collection, exploratory analysis, model building, evaluation, and deployment.
Supervised learning uses labeled data to make predictions, while unsupervised learning works with unlabeled data to find patterns or structures.
Machine learning is a subfield of data science that focuses on developing algorithms and models that can learn from data and make predictions or take actions without being explicitly programmed.