Full Stack Data Science
Learn cutting edge full stack data science, Adept data into actionable insights, and be an expert with our certified full-stack data science program.
221+
Students Empowered
Online
Format
3 Months
Duration
110+
Hiring Partners
Program Highlights
- Interactive live sessions
- Experienced corporate trainer onboard
- 100% Online Sessions
- Real-time industrial teaching
- Flexible self-pacing
Course Framework
- 60+ hours of live online sessions
- 24/7 access to LMS portal
- 30+ Hours of Real time Live Sponsored Projects
- Periodical mock test
- One to one performance assessment
Placement Assistance
- Resume building
- Pre-placement training
- Mock interviews
- Career expo
- shortlisting CVs with job portal collaborations
Why Full-Stack Data Science?
Full Stack Data science is the one who has worked in all of these departments including Machine Learning, Big Data, Data Visualisation, Productising Data Science Models and has sufficient knowledge of all these. Full stack data science engineering is the integration of data scientists and data science engineers.
By 2020, the device connectivity is to reach its peak, projecting an estimate of around 30 million terabytes of data every day.
A 10% rise in data accessibility will result in more than $65 million-additional net income for the typical Fortune 1000 company.
By 2025, the Data Science analytics sector in India, is estimated to grow eightfold, reaching $16 billion.
Who should learn Full Stack Data Science?
Anyone who is curious about the number, information, visualizing data and AI.
An enthusiast with a decent background in Maths and CS.
Professionals wanting a career uplift.
Freshers wishing to venture into the field of Big Data through acquiring analytics skills.
Prerequisite skills
- Basic concepts of Maths like statistics, calculus, and probability.
- Subtle familiarity with python/Java/R.
- Basic knowledge about SQL.
- Passion for developing business acumen.
Achieved objectives
- You Can Become A Full-Stack Data Scientist.
- You Will Master Data Analysis, Machine And Deep Learning.
- You Will Learn Decision Making And Control Flow.
- You Will Grow Proficient In Neural Networking And Text Mining.
Job opportunities
- Business analytics professional.
- Business intelligence professional.
- Data scientist
- Big data analyst
- HR analytics professional
- Marketing analytics professional.
Instructors
A master in business analytics from Indian Institute of science, proficient in Statistics, Machine Learning, AI, Deep Learning, Quantum AI, Computer Vision, Speech, Language understanding, Knowledge Graph, Conversational computing, and IoT.
Revanth GuthalaDirector & Head for Complete Data Science Department of GEEKLURN 
Mr. Adhvaith Reddy
is an expert Data Scientist for more than 13 years in market research domain and industries like Genpact, Kantar.
He is expert in the subjects like Advanced Statistics, Predictive Analytics, Machine learning , Data Pre-processing, NLP and Deep Learning and Tools like Excel, SPSS, R, Python, Quantum, MiniTab, Tableau.
He believes that "No prior knowledge is required to join his classes."
Mr.AdhvaithSr.Data Scientist with more than 13 years of experience in market research domain and industries like GenPact & Kantar 
Mr Shravan is a Senior Data Scientist and has 17 years of experience in working for various multinational organizations, one of them being UBER.
ShravanSr.Data Scientist @ Uber 
An enthusiastic machine learning expert with more than 10years of experience in Data Science and a skilled mentor who believes in extremely hands-on and incredibly practical teaching.
BharathSr.Data Scientist @ Accenture 
With about 15 years of experience in Information
Technology, He has excelled in AI Architect Designing analytics-based process automation solutions, NLP & Image Analytics Enabling, Machine Learning Engineering for predictive analytics, Advanced Python & SAS programming for ML/Deep
Learning/NLP algorithms.
AbhiramSr.Data Scientist @ Amazon 
With 20 years of industrial and more than 7 years of teaching experience, he has gained expertise in data science and has proved himself as a promising mentor with his outstanding teaching techniques.
Vishal SinghExpertise in Data Science 
Being a real-time expert with solid work proficiency in AI frameworks, Mr Santosh has more than 10 years of experience in the field of Data Science and has a passion for teaching with a vast knowledge of creative Data and Algorithm.
SanthoshData Scientist 
A master in Data Science & Python from IIITB, Mr Naidu is a research Engineer and enthusiastic teacher with 10 years of Industrial experience. His area of expertise lies in Python and AI frameworks.
Naidu RData Scientist 
Previous
Next
Syllabus
BASIC LEVEL
- Introduction To Full Stack Data Science & AI
- Essential Maths & Statistics for Data Science & AI
- Python Programming Essentials for Data Science & AI
- EDA and Data Visualization in Python
- Data Pre-Processing
- Intro to Big Data & Cloud Computing for Data Science
ADVANCED LEVEL - Machine Learning & AI
Supervised Learning
- Simple Linear Regression
- Introduction to Linear Algebra
-
Multiple Linear Regressions with Linear Algebra
A. Multiple Linear Regression
B. Variable Selection Methods - Gradient Descent Method
- Logistic Regression
- Model Validation
- Decision Tree Classifier
- Decision Tree Regression
- Introduction to Ensemble methods
- Random Forest Regression
- Random Forest Classifier
- Bagging Regression
- Bagging Classifier
- Ada Boost Classifier
- Gradient Boost Classifier
- XGBoost Classifier
- Support Vector Machine
- Support Vector Classifier
- Kernel SVM
- Naive Bayes Classifier
Unsupervised Learning
- K-means Clustering
- Hierarchical Clustering
- Dimensional Reduction Techniques
- Principal Compound Analysis
- Time Series (Optional Topic)
- Advance Regression Lasso & Ridge (Optional Topic)
- Deep Learning Concepts Overview
- Artificial Intelligence Concepts Overview
- NLP Concepts Overview
- Deployment of Machine Learning Modals to Cloud
Sponsored Projects / Real Time Case Studies
- After completion of 60 Hours of Live training the students will be exposed to various hands on sponsored projects given by different recognized research or data science companies to GEEKLURN.
- Total time duration to submit the sponsored project will be 30hrs.
- Student will be working closely with his/her real time data science expert to submit the project to research organisation successfully.
- Based on the research project and performance of students in the sponsored projects the student can win a chance of getting scholarships during the project.
Be A Certified Full Stack Data Scientist
Learn Full Stack Data Science and get certified from TOP industries & Universities which :
- Reflects your skill.
- Upgrade your business impact.
- Helps you getting hired.
Program Features
Guidance from Corporate Specialists
Resolve all theory and projects related queries from our industrial mentors.
Corporate Boost Camps
Participate in workshops and live webinars to understand technical terms and trends and make your learning reasonable.
Peer Networking
Build around a cohesive learning network with workmates, mentors, and experts to share ideas, address intra-queries and resolve projects, learning, and practical learning ambiguities.
Placement Assurance
We make you industry ready as you get equipped with all the requisites through our extensive and one of its kind learning programs.
Tools Covered
Course Fee
Total Program Fee
₹1,20,000 + 18% GST
COVID19 Offer: 50% Discount on Total Price
Offer Price
₹60,000 + 18% GST
| TENURE | EMI |
|---|---|
|
6 |
Rs 11,800 |
|
12 |
Rs 5,900 |
|
15 |
Rs 4,720 |
|
18 |
Rs 3,933 |
Education Loans with 0% Interest is Available from Eduvanz Finance
Schedule a Call
How will you benefit from this course
- Certified Full Stack Data Science Without Quitting Your Job
- Cutting-Edge Curriculum Designed By Industry Experts
- Alumni Status From GeekLurn
- Career Transition With Up To 45% Salary Hike
- Hiring Opportunities From Uber, Microsoft, PWC, Genpact and More
Our Hiring Partners
Opening the doors to the best in the industry
Student Reviews
Cisco Read More
GeekLurn's Live projects have helped me to possess a real view of business hierarchy. I am grateful to the extremely talented mentors to wave me through pictorial concepts.
Mindfire Read More
I was afraid if I could learn data science without having proficiency in coding. But GeekLurn has the advantage of fundamental ground learning where you can start from the scratch irrespective of your background. I am working as a Senior Data Scientist at a reputed firm in Bangalore.
Oracle Read More
I had an enlightening experience with GeekLurn and was surprised to see such dedication from career mentorship who not only helped me shape my cv but guided me through the entire interview process with thorough sincerity.
Frequently Asked Questions
Since I am working, can I attend the classes at the weekend?
Yes, we have weekend batches available for working professionals.
Is this course theoretical or practical?
We encapsulate both theories and practical sessions where you can work on live on projects subsidized with industry.
Can I avail the course online?
Yes, you can. In online instructor-led training, industry experts will train you with a group of our course learners for 120 hours over online conferencing software like Zoom & Webinar. Online Classes will happen every day from Monday to Friday.
I have a basic idea about C and C++. Can I pursue this course?
Yes, you can pursue data science with fundamental coding ideas like C and C++.
If I miss some classes due to unavoidable circumstances, how I am going to compensate?
Our 24/7 LMS support program is there to help you overcome any lagging behind and compensate for the missed lessons.
Can I enroll in this course without any programming background.?
Yes, you can enroll with us without any programming code as we will be guiding you through the basics of coding.
How long it will take to complete the syllabus
The courses come with a span of 120 hours timeline. It will depend on your convenient schedule and the type of batch you are enrolled into.
Am I going to get any placement assistance from your institute?
Yes, absolutely!. We make sure your experience of learning with us is worth it
by assuring you proper carrier assistance. We indulge in
1. Career expo
2. Resume building
3. Pre-placement training
4. Mock interviews
5. shortlisting CVs with job portal collaborations