Data Science and AI Professional Program
- Certification Courses, IT Courses
- 479 (Registered)
Engage in an immersive, practical-based curriculum to delve into the nuances of data science and AI and make your career future-proof. SkillSchool brings to you this rigorous Data Science and AI Professional Certification Course to help you hone skills for effective decision-making and tackling data complexities. With a curriculum developed in collaboration with industry experts and merging the latest trends and practices, you have your professional skills development sorted at SkillSchool. The course is delivered by our distinguished faculty, who will help you prepare to be proficient data and AI experts.
Duration: 3 Months
Live Online Classes: Interactive one-on-one Learning
2 Months focus on Course Module and 1 Month of Capstones, Soft skills training, and interview preparation
Beginner-Friendly Level: Fresh Graduates can also join
Industry-experienced trainers: Learn from the best
Industry-Based Curriculum: Course modules developed by industry experts tailored to the needs of the industry
Great Learning Scope: Exploring key concepts and practices in Data Science and AI
Intensive student support: 24/7 Assistance
Overall Skill enhancement: Soft Skills Training alongside technical skills building
Job Preparation Support: Resume writing activities and Mock Interviews
Program Overview
Learn the methods of discovering and developing data-driven AI solutions applicable across industries with SkillSchool's Data Science and AI Professional Certification Course. This course is designed to help fresh graduates kickstart their professional journey in Data science and AI by enhancing their skills and knowledge with a practical-based learning experience. From exploring the fundamental concepts to navigating the emerging trends in data science and AI, participants in the course can expect to build strong backgrounds for their careers.
Get ready to explore the intricate practices of data science and AI through hands-on projects. SkillSchool developed this course to deliver industry-valued skills for professionals seeking upskilling as well as freshers desiring to embark on a tech-driven career. Explore the nuances of the data science life cycle and hone expertise to perform data analytical solutions. Familiarise with core components of AI, including Machine Learning, Deep Learning, NLP, neural networks, etc. Join our 5-day free trial to learn more about what to expect from the course.
Course Content
Retail Banking Professional Program Curriculum
Module 1- Laying the Groundwork
- Data Science Overview
- Python Fundamentals
- Statistics Fundamentals
- Data processing
- Data Mining
Module 2 - Databases for Storage and Retrieval
- Introduction to Relational Databases
- MySQL, DDL and DML
- SQL queries
- Connecting MySQL with Python
Module 3- Data Analytics and Visualization with Python
- NumPy Library
- Introduction to data analysis
- Data preprocessing
- Pandas
- Data Manipulation & Analysis
- Data visualization with numerous libraries
- Exploratory Data Analysis
Module 4- Machine Learning Principles
- ML Fundamental concepts
- Methodology and Practical Tools
- Supervised and Unsupervised learning
Module 5 - Neural Network and Deep Learning
- Applications of Neural Networks
- Automatic Differentiation
- Stochastic Gradient Descent
- Regression
- Multi-Layer Perceptrons
- Training of Neural Networks and hyperparameter optimization
- Convolutional Neural Networks
Module 6- Artificial Intelligence and NLP
- Introduction to Artificial Intelligence (AI)
- Fundamentals of Deep Learning – I
- Fundamentals of Deep Learning – II
- Natural Language Processing (NLP)
- AI in Practice and Future Trends
Module 7- Advanced analytics with Power BI
- Introduction to Power BI
- Power BI Products: Desktop and Service
- Navigating the Power BI interface
- Data sources connection and importing data
- Data transformation and modelling in Power Query Editor
- Cleaning and Shaping Data for Analysis
- Creating interactive visualizations
Module 8- Decision-Making and Risks Associated with Data Science and AI
- Overview of the challenges of risk assessment,
- Prediction and Decision-making
- Ethical regulations and strategic decision-making
- Limitations of big data and machine learning
Module 9- Capstones Project and Practical
- Capstone Project on Data Science and AI
- Q&A and Interactive sessions
- Resume Development
- Interview Preparation
Become a Certified IT Professional
- Key Features
- Requirements
- Target Audiences
3 Months Program
Build industry-valued skills in data science and AI, and become an expert in developing data-driven solutions.
Completely Online Course
Learn industry-demand skills from the comfort of your homes, flexibly and affordably.
Mastering both theory and Practice
Gain mastery of data science and AI concepts and principles with 2 months of concentration on course content and 1 month focused on Capstone projects.
Attain Core Data Science and AI Skills
Develop mastery of core programming language, data life cycle and AI-powered tasks.
Hands-on Projects for practical competency
Work on hands-on projects like working with data structures.
Curriculum Tailored to Industry Demand
Engage in a focused curriculum to build and enhance industry demand competencies.
Experienced Faculty
Get trained under well-qualified professionals known for their expertise, experience and exceptional knowledge.
Access to Learning Resources
Strengthen your learning by accessing study resources and materials, including journals, articles, videos, industry reports, etc.
Overall Skill Workshops
Develop excellent soft skills while building technical expertise.
24/7 Support
Access to personalized support for any questions and queries throughout the course.
- Candidates must possess a Bachelor’s Degree from a recognised University or Institution with a minimum of 50% marks.
- Knowledge of programming language is desirable.
- Having a solid knowledge of statistics is desirable.
- Individuals desiring to build their career in the tech-driven field with a focus on Data Science and AI.
- Working Professionals seeking to upskill data science and AI competencies.
- Career Switchers: professionals considering a career transition to the data science and AI fields.
- Entrepreneurs seeking AI and data visualization skills.
- Fresh graduates wishing to build a career in Data Science and AI.
Program Outcomes
Gain in-depth knowledge of Data Science and AI via comprehensive theory and hands-on projects.
Learn the art of effective implementation of ML algorithms and making data-driven decisions.
Capable of generating business perspectives powered by AI and Data analysis
Capable of generating business perspectives powered by AI and Data analysis.
Program FAQs
The Data Science and AI Professional Certificate Course by SkillSchool is a 3-month live-online programme, with 2 months engaged in course modules and 1 month for practical skill development, including a Capstone project.
SkillSchool takes pride in its quality of training, made possible by the host of distinguished faculty members who have made names in the industry and are known for their years of experience and knowledge. These experienced mentors will engage you in a practical learning approach, making your learning exciting and impactful and your time and investment completely worth it.
Applicants to the course must ensure fulfilling the below criteria:
- Bachelor’s Degree from a recognised University or Institution with a minimum of 50% marks.
- Basic knowledge of Computer Programming languages
- High School – Level Knowledge of Statistics and Mathematics.
Yes. Every student who completes the course successfully will be issued a Certificate from SkillSchool.
The total course fee is INR 60,000.
Students/Participants at SkillSchool may expect to get 24/7 student support for any query and complaints. The program coordinator will cater to every query you have and also monitor your course participation and performance throughout the course.
Articles and Blogs
Explore our expansive learner’s resources and gain insights about the latest industry trends and topics spanning diverse disciplines.