IBM-Certified Data Science Online Course
Get Job-Ready with Real Skills in AI, ML, and Cloud – Backed by 100% Placement Support!
- Build real world projects
- Money Back Guarantee
- Learn directly from industry experts
- flexible class schedule to earn while you learn
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IBM-Certified Data Science & Architecture Program – Your Fast Track to a High-Growth Tech Career
Our 150+ Students Placed Last Year
What Makes Aspire Tech’s Data Science Program Different?
100% Live Classes
Interactive, mentor-led sessions that ensure deep learning—no boring pre-recorded videos.
IBM-Certified Curriculum
Get trained with industry-recognized content and earn a certification directly from IBM.
AI-Powered Job Board
Access a smart job board tailored to your profile. Get matched with roles based on your skills, certifications, and progressautomatically.
Real-World Projects
Work on hands-on, industry-grade data science problems to build your job-ready portfolio.
1:1 Mentorship & Career Support
Get personalized guidance, mock interviews, and job prep from data science experts.
Money-Back Guarantee
Get access to 100% placement support with mock interviews, resume help, and scheduled interviews from 200+ hiring partners.
Course Curriculum
Your Learning Journey
At Aspire Tech Academy, we believe success is built step by step. Our curriculum is designed to guide you from the foundations of data science all the way to advanced AI, GenAI, and cloud deployment. Each phase prepares you with practical skills, real-world projects, and career-focused training so you graduate job-ready.
Module 1-5
Phase 1: Foundations
- Statistics topics
- Probability topics
- Introduction to Mathematics for Data Science
- Linear Algebra topics
- Calculus topics
Module 6-15
Phase 2: Data Science Core
- Introduction to Python
- Deep Dive - Functions, OOPS, Modules, Errors and Exceptions
- Data Manipulation
- Introduction to Machine Learning with Python
- Supervised Learning - I
- Dimensionality Reduction
- Supervised Learning - II
- Unsupervised Learning
- Reinforcement Learning
Module 16-20
Phase 3: Data Analytics & Visualization
- Data Clustering
- Time Series Analysis
- Model Selection and Boosting
- Sequences and File Operations
- Introduction to NumPy, Pandas, and Matplotlib
Module 21-30
Phase 4: NLP & Text Mining
- Natural Language Processing with Deep Learning in Python N
- Natural Language Processing in TensorFlow
- Introduction to Natural Language Processing
- A Refresher to Python
- Learn to use Regular Expressions
- First Step of NLP - Text Processing
- Extracting Named Entities from Text
- Feature Engineering for Text
- Mastering the Art of Text Cleaning
- Interpreting Patterns from Text - Topic Modelling
- Machine Learning Algorithms
Module 31-36
Phase 5: GenAI & Cloud Deployment
- Understanding Text Classification
- Introduction to Deep Learning
- Deep Learning for NLP
- Recurrent Neural Networks
- Introduction to Language Modelling in NLP
- Sequence-to-Sequence Modelling
What Makes Aspire Tech’s Data Science Program Different?
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Students Enrolled
4.9 /5
Average Rating
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Years of Experience
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FAQs - Everything You Want to Know
What are the key learning outcomes of this Data Science course?
We are in an age where data-driven decisions are crucial. While the volume of data is rapidly increasing, experts are needed to transform it into actionable insights. This Data Science and Artificial Intelligence program, in collaboration with IBM, equips you with the job-specific skills essential for advancing in the field.The course curriculum includes key concepts such as Python, Machine Learning, Deep Learning, and Natural Language Processing (NLP). With hands-on training using capstone projects and real-world datasets, you’ll be prepared for roles like Data Analyst, Data Engineer, and more.
What key skills will you develop through this Data Science Architecture course?
In this Data Science Architecture course, you’ll gain expertise in Data Science, Data Analysis, Data Visualization, Machine Learning, Deep Learning, Artificial Intelligence, Python, Statistics, NLP models, SQL, and Data Wrangling.
What projects are included in this Data Science Architecture course?
Get an opportunity to work on Real-World Datasets of various industries like healthcare, e-commerce, social media, entrepreneurship, supply chain, and more. Learn from basics like cleaning a large amount of data, organizing it, and much more.
Who should take this Data Science Architecture course?
Anyone with a graduate degree in any field can apply and enrol in a Data Science Architecture course. Freshers and working professionals with any educational background are eligible for the course.
Are there any prerequisites for this Data Science Architecture course?
No, There are no prerequisites for taking this course
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