IBM Certified Course
Data Science Architecture Program
Online Live Classes
Pay after placement
Elevate your expertise with our Data Science course, developed in collaboration with IBM. This exclusive program offers immersive hackathons, masterclasses, and ask-me-anything sessions. Through hands-on practice, gain proficiency in Python, SQL, Excel, Machine Learning, Tableau, Generative AI, prompt engineering, and ChatGPT. Interact live with industry leaders, enhancing your skills and staying ahead in the fast-evolving world of data science. Join us and empower your career today
Your Dream Career Is Just One Step Away
Fees
Just 30% Upfront fee
Duration
6 months
Batch Size
15
Salary
Average 7 LPA
Achieve a Competitive Advantage in Emerging Technologies with Our Data Science
Architecture Program
60 %
Average Hike
200 +
Career Transitioned
200 +
Hiring Partners
Key Highlights
Skill Covered
Program Details
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
Tools Convered
Our Curriculum
Module 1: Statistics topics
Module 2 : Probability topics
Module 3 : Introduction to Mathematics for Data Science
Module 4 : Linear Algebra topics
Module 5 : Calculus topics
Module 6 : Introduction to Python
Module 7 : Deep Dive – Functions, OOPS, Modules, Errors and Exceptions
Module 8: Data Manipulation
Module 9 : Introduction to Machine Learning with Python
Module 10 : Supervised Learning – I
Module 11 : Dimensionality Reduction
Module 12 : Supervised Learning – II
Module 13 : Unsupervised Learning
Module 14 : Association Rules Mining and Recommendation Systems
Module 15 : Reinforcement LearningModule 16 : Data CLustering
Module 17 : Time Series Analysis
Module 18 : Model Selection and Boosting
Module 19 : Sequences and File Operations
Module 20 : Introduction to NumPy, Pandas, and Matplotlib
Module 21 : Natural Language Processing with Deep Learning in Python N
Module 22 : Natural Language Processing in TensorFlow
Module 23: Introduction to Natural Language Processing
Module 24: A Refresher to Python
Module 25: Learn to use Regular Expressions
Module 26: First Step of NLP – Text Processing
Module 27: Extracting Named Entities from Text
Module 28: Feature Engineering for Text
Module 29: Mastering the Art of Text Cleaning
Module 29: Interpreting Patterns from Text – Topic Modelling
Module 30: Machine Learning AlgorithmModule 31 : Understanding Text Classification
Module 32 : Introduction to Deep Learning (Optional)
Module 33 : Deep Learning for NLP
Module 34 : Recurrent Neural Networks
Module 35 : Introduction to Language Modelling in NLP
Module 36 : Sequence-to-Sequence Modelling
Addon Syllabus
- Bigdata, Sparck & Kafka, MongoDB
- Chat GPT
- Business Analytics
- Data WareHousing & ETL
- Data Analytics
- Cloud Computing (AWS, AZURE, CGP)
- Deployment of Machine Learning Models to Cloud
- Data Science Project Management
Industry Projects
In this certificate program, you’ll gain hands-on experience through industry projects, guided by seasoned professionals. These projects will be integrated into your Certification in Data Science Architecture Program to deepen your expertise. You’ll work with real-world datasets, receiving mentorship from world-class industry experts throughout the process.
Certifications
IBM Certificate :
Post completing the IBM Certified Data Science Algorithm Course, you’ll be eligible for official certification from IBM which will help you in boosting your credentials and career in Data Science.
Certificate from Aspire Tech Academy :
Upon successfully completing your program, you will receive an official certificate from Aspire Tech Academy. This certification will serve as a valuable credential to showcase your skills and knowledge as you advance in your career.
● Experience Certificate up to 1 year
● Internship Certificate
● Certificate for each tools completed
Placements
Interview preparations will begin in the 7th month, with a strong focus on training and equipping candidates for success. Since our program follows a Pay After Placement model, candidates will only pay 70% of the fees after securing a job with a minimum package of 5 LPA or a 60% salary hike from their current salary
Hiring Partners
FAQ’s :
What are the reasons to enroll in the Data Science Architecture program?
Harvard Business Review states that Data Science is the most sought-after job of the 21st century, and the demand for professionals in this field is expected to continue increasing. In addition to Data Science, areas such as Machine Learning and Artificial Intelligence are also on the rise. This course, which offers dual proficiency, will equip learners to secure significant roles in these fields.
Who should enroll in this program?
With the high demand for Data Science and analytics professionals in industries like banking and finance, manufacturing, transport and logistics, healthcare, home maintenance, and customer service, it is a solid career choice for both fresher and experienced professionals.
This Data Science Architecture program is well suited for a variety of profiles like:
• Beginners or recent graduates looking to build a career in the Data Science field.
• IT Professionals aspiring to be a Data Scientists or Artificial Intelligence Engineer
• Business Analysts and Software developers who are aiming to level up their careers.
• Developers and Project managers who want to gain expertise in Data Science and AI algorithms.
What if I miss attending one or more lectures?
If you happen to miss any lectures, we will provide you with a recording of the session within 24 hours. Additionally, if you have any questions, you can reach out to the dedicated program manager for assistance
How does the Pay After Placement work?
The Pay After Placement model creates a win-win situation for both learners and Aspire Tech Academy, as students will pay the majority—70%—of the fees only after successfully securing a job.