5. Day wise Learning Plan
Day-01 Data Science & Industry Requirements / Applications
Day-02 Python for Data Science
Day-03 Data Science & Python Fundamentals - Overview
Day-04 Implementing Pandas Library
Day-05 NumPy Library – Case Study
Day-06 Matplotlib – Applications
Day-07 Seaborn and scikit library Implementation
Day-08 Logistic & Linear Regression
Day-09 ML Algorithms – SVM
Day-10 ML Algorithms – Decision Tree
Day-11 Deep Learning Techniques - Bagging & Boosting
Day-12 Deep Learning Techniques - Keras
Day-13 Neural Networks - ANN & CNN
Day-14 Importing and Manipulation of data
Day-15 Concepts on excel sheet with Datascience
6. Day wise Learning Plan
Day-16 Concepts of Datascience - Data Frame ,Functions & Data preparation
Day-17 An intro to qlikview tool,qlikscale tool
Day-18 Basic concepts of qlikview and the usage of this tool in datascience domain
Day-19 NLP in Data Science
Day-20 Case Study - Detection Models - I - Cyber Money Laundering Detection
Day-21 Case Study - Detection Models - II - Anamoly Detection
Day-22 Case Study - Prediction Models I - Heart Disease Prediction
Day-23 Myers briggs personality prediction using ml
Day-24 Classification Models - I - Spam Classification Models
Day-25 Classification Models - II - Movie Review Classification
Day-26 Segmentation Models - I - Customer Segmentation Model Creation
Day-27 Project - 1 - Emotion Detection using Python
Day-28 Project - II - Wine Quality Prediction using Datasets
Day-29 Project - III - Twitter Dataset Classification using DL
Day-30 Data Science - Tools , Languages & Jobs
16. Start….
1 2 3 4
Collect bitcoin
information
Install software
Create a Project in any of the
editor windows
Apply some
preprocessing
functions
Contd…
17. Contd…
5 6 7 8
Analyze the data
graphically
Train using some
algorithms
Test with some new future
inputs
Find out the
accurate
predictions
18. Pantech will make you to Create 10
Projects in DATASCIENCE in 30 Days
Objective of this 30 Days Master Class