How to Upload a Project to GitHub: A Step-by-Step Guide
August 10, 2024
Foundation Series
4.7
100 Hours
Python For Data Science
Original price was: ₹25,000.00.₹15,000.00Current price is: ₹15,000.00. + 18% GST
What You will Learn
Python for Data Science is a cutting-edge course designed to take participants from foundational Python programming to advanced applications in data science. Through hands-on modules, candidates will learn to manipulate data, perform statistical analysis, and build machine learning models. Graduates will emerge with the expertise to pursue careers in data science, start their own tech ventures, or offer specialized freelance services.
Job Opportunities
- Data Scientist
- Machine Learning Engineer
- AI Specialist
- Startup Founder in the Tech Space
Duration Course
- 12 Weeks
- 100 Hours of Mentorship
- Projects
- 30 Course Videos
Course Content
Python For Data Science Course
Modules
Benefits
Prerequisites
Services Students Can Offer To Businesses
Innovate, Launch, Lead
Modules
- Module 1: Introduction to Python for Data Science
- Module 2: Data Structures and Control Flow in Python
- Module 3: Working with Data Using Pandas
- Module 4: Data Visualization
- Module 5: Introduction to Statistical Analysis and Machine Learning
- Module 6: Intermediate Machine Learning
- Module 7: Advanced Topics in Data Science
- Module 8: Introduction to Generative AI
- Module 9: Generative AI use case
- Module 10: Mini Project and Introduction to Project based learning.
- Conclusion and Next Learning Path
- Practical Workshops and Case Studies
Benefits
- Comprehensive Skillset: Acquire a broad range of skills from Python programming to advanced data science and generative AI techniques.
- Career Advancement: Enhance your resume with in-demand skills, opening doors to lucrative roles in the tech industry.
- Entrepreneurial Ventures: Gain the knowledge necessary to launch startups in the booming fields of AI and data science.
- Freelance Opportunities: Learn to offer your expertise on a freelance basis, providing services such as data analysis, machine learning modeling, and AI consultancy.
Prerequisites
- Basic understanding of Python or completion of a foundation Python course.
- Familiarity with fundamental principles of mathematics and statistics.
- Enthusiasm for data science and artificial intelligence.
Services Students Can Offer To Businesses
- Exploratory Data Analysis (EDA): Uncover patterns and trends in datasets.
- Feature Engineering: Prepare data for machine learning models.
- Building Predictive Models: Develop basic regression and classification models.
- Data Storytelling: Create compelling visualizations for stakeholders.
Innovate, Launch, Lead
Successful students can launch startups to:
- AI-Driven Analytics Firm: Offer data analysis and predictive modeling services to businesses across industries.
- Generative AI Startup: Create innovative solutions using generative AI, such as automated content creation or design tools.
- Tech Consultancy: Advise businesses on data strategy, machine learning implementation, and leveraging AI for growth.
- Educational Tech Solutions: Develop platforms or courses that make data science and AI accessible to a wider audience.
