Data Science Bootcamp with AI
Supercharge your career with Strategism’s Data Science with AI Bootcamp.
- Job Preparation Support.
- Get placed in a Data Science job within 6 Months of Course
Price : 2400 USD $1,699
Nvidia CEO: To ensure job security in a rapidly evolving market,
mastering AI tools and integrating them into your workflow isessential.
Live Instructor – Led Data Science Bootcamp with AI
15+ Years
Experienced Trainers
50+
Trainers
1800+
Certified
4.7/5*
Rating
Introduction to Data Science Bootcamp with AI
Supercharge your career with Strategism’s Data Science with AI Bootcamp. This comprehensive training program is meticulously designed to equip you with the skills and knowledge needed to excel in the dynamic fields of data science and artificial intelligence (AI). Whether you’re just starting out or looking to upskill, this bootcamp provides you with the practical tools and industry-relevant expertise to succeed.
Who Should Take This Course?
This Data Science with AI Bootcamp is ideal for:
- Aspiring Data Scientists and AI Professionals: Individuals seeking to build a career in data science and AI.
- Data Analysts and IT Professionals: Those looking to expand their skill set and transition into data science or AI roles.
- Students and Graduates: Learners aiming to gain a competitive edge in the job market with in-demand skills.
Basic programming and math knowledge are helpful but not mandatory. All you need is logical thinking, curiosity, and a willingness to learn—we’ll take care of the rest!
What Do We Offer
- Over 165 Hours of Live, Instructor-Led Classes
- 50 Hours of Real-Time Doubt Resolution Sessions
- 35 Hours of Master Sessions Led by Industry Professionals
- 110 Hours of Flexible, Self-Paced Video Lessons
- 250 Hours of Practical Experience with Cloud-Based Labs
- Develop a Professional Portfolio with 17 Capstone Projects
- 133 Automatically Scored Quizzes and Evaluations
- 20+ Case Studies from Leading Industries
- 166 Hands-On Practice Sessions with Guidance
- 36 Mini Assignments and Project Work
- 2 Simulated Interviews and Participation in 1 Hackathon
- 15 Hours of Personalized Mentorship from Industry Veterans
- Bonus Access to AI Engineer Bootcamp
Our Data Science Bootcamp with AI Training Offers the Following
- Immersive Learning Experience: Engage deeply with the subject matter through an interactive and comprehensive learning approach.
- Hands-On Practice: Build your skills by actively working on real-world problems and projects, ensuring you learn by doing.
- Access to Cloud Labs: Utilize cloud-based labs for practical, on-the-job training, allowing you to apply concepts in a real-world environment.
- Outcome-Oriented Training: Our curriculum is designed with a focus on achieving tangible results, preparing you for successful outcomes in your career.
- Hybrid Learning Model: Benefit from a mix of live sessions, self-paced videos, and practical exercises that provide a well-rounded educational experience.
Course Syllabus – Data Science Bootcamp with AI
Module 1
Programming and Web Basics
Module 2
MS Excel Fundamentals
Module 3
Math and Statistics
Module 4
SQL Fundamentals
Module 5
NoSQL Overview
Module 6
Python for Data Science
Module 7
Machine Learning with Python
Module 9
Natural Language Processing (NLP)
Module 11
Data Structures and Algorithms
Module 8
Deep Learning with TensorFlow and Keras
Module 10
Cloud Model Deployment
Learning Objectives
- Programming and Web Basics: Start with foundational concepts and progress to building data science solutions.
- MS Excel Fundamentals: Learn key Excel skills like using formulas, formatting, and visualizing data.
- Math and Statistics: Understand probability, statistics, linear algebra, and calculus essential for data science.
- SQL Fundamentals: Grasp database basics, write SQL queries, and retrieve data from relational databases.
- NoSQL Overview: Explore NoSQL databases, and practice CRUD operations with MongoDB using Mongo Query Language (MQL).
- Python for Data Science: Use Pandas and NumPy to perform data operations and derive statistical insights.
- Machine Learning with Python: Build ML models, focusing on regression and problem-solving across different domains.
- Deep Learning with TensorFlow and Keras: Learn to build neural networks and implement CNNs and RNNs using Python.
- Natural Language Processing (NLP): Understand the NLP pipeline using libraries like NLTK, Spacy, and TextBlob.
- Cloud Model Deployment: Deploy machine learning and deep learning models on cloud platforms.
- Data Structures and Algorithms: Learn key algorithms and data structures, including sorting methods and data organization techniques.
What Our Customer Say About Us
Victor Ifediora
Caterina Vazquez
Shannon Wilson
Elizabeth Bolanos
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