We teach module wise and have following components.
1. Basic Statistics using excel
2. Python Basics
3. Python Advance
4. Machine Learning
5. Vizualization
6.2 live projects on scorecard building
7.Interview preparation
We provide conceptual clarity and practical analytics experience so that the student can a get a job easily post the course.We would help student lifetime as when they need help or guidance.
The course is both online and Classroom. The Classroom training would happen in our HSR layout center.Online training would happen on Skype.
The timings are flexible for online mode. The classroom training would happen in Morning(10 to 13 pm) or in evening(7 to 9 pm). On weekend(10 to 2 pm)
The faculty are experience and have vast knowledge in data analytics domain.They would try their best you understand the basics and can apply it in your job.
MODULE I: BASIC PYTHON AND LINEAR REGRESSION
- Basic python and environment,Pandas,Matplotlib
- Linear Regression
MODULE II: CLASSIFICATION AND PARALLEL COMPUTING
- Logistic Regression
- Probability and Bayes Theorem
- Parallel Computing [Parallel/Distributed Computing/Multithreading]
MODULE III: CLUSTERING AND DECISION TREES
Clustering
Decision Tree and random Forest
MODULE IV: UNSUPERVISED LEARNING AND SVM
Unstructured Text
Support Vector Machine
MODULE V: DEEP LEARNING
Neural Network ï?· Convolution Neural Network (Keras) - Image Classification ï?· Recurrent Neural Network with LSTM - Build a chatbot
PROJECTS & ASSIGNMENT
- 3 Projects
- 10 Assignments
- 2 Exams
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