FREE 30 Days DATA SCIENCE MASTER CLASS SERIES(PYTHON)
Registration form for 30 DAY CHALLENGE ON DATA SCIENCE ENGINEERING
The Objective of this Webinar Series is to facilitate the participants to get cognizance of the concepts dealt with for substantial utilization of the same into studying, teaching, Research work, and Upgrading.
DATA SCIENCE MASTER CLASS SERIES
Free Participation Certificate
YouTube: Live
Date: 20-01-2022 to 18-02-022
Time: 06.00 - 06.45 PM IST
Day Topics
Day 1 - Python for Data Science (5 Solved end-to-end Data Science Projects in Python)
Day 2 - Advanced PythonDay 3 - Pandas Library - Introduction
Day 4 - Pandas – Data Structures
Day 5 - Numpy library - Array Operations | Mathematical Functions
Day 6 - Numpy - Sort, Search, and Counting Functions
Day 7 - Matplotlib, Histogram Using Matplotlib | I/O With Numpy
Day 8 - Matplotlib Library - Introduction, Pyplot API | Types Of Plots
Day 9 - Seaborn Library
Day 10 - SKLearn Library
Day 11 - Google Colab Notebook
Day 12 - Python – Date and Time, Data Wrangling
Day 13 - Python – Data Aggregation
Day 14 - Python – Word Tokenization, Stemming, and Lemmatization
Day 15 - Python – Data Visualization
Day 16 - Python – Statistical Analysis
Day 17 - Python – Types Of Distribution
Day 18 - Python – Correlation, Chi-Square Test, Linear Regression
Day 19 - Tableau – Introduction and Tools
Day 20 - Tableau – Data Sources, Worksheets
Day 21 - Spatial DataScience For Covid-19 Disease Prediction
Day 22 - PowerBI – Introduction, Installation Steps|Architecture.
Day 23 - PowerBI – Data Modelling, Visualization Options|Excel Integration.
Day 24 - Parkinson’s Disease Prediction - XGBoost Classifier
Day 25 - House Price Prediction - Random Forest Regression
Day 26 - Customer Segmentation Using ML - K-Means Clustering
Day 27 - Home Loan Prediction - Decision Tree Classifier
Day 28 - Spam Classification - NLP
Day 29 - Hand-Written Digit Recognition Using Python - CNN
Day 30 - Churn Prediction - Deep Learning
Day 12 - Python – Date and Time, Data Wrangling
Day 13 - Python – Data Aggregation
Day 14 - Python – Word Tokenization, Stemming, and Lemmatization
Day 15 - Python – Data Visualization
Day 16 - Python – Statistical Analysis
Day 17 - Python – Types Of Distribution
Day 18 - Python – Correlation, Chi-Square Test, Linear Regression
Day 19 - Tableau – Introduction and Tools
Day 20 - Tableau – Data Sources, Worksheets
Day 21 - Spatial DataScience For Covid-19 Disease Prediction
Day 22 - PowerBI – Introduction, Installation Steps|Architecture.
Day 23 - PowerBI – Data Modelling, Visualization Options|Excel Integration.
Day 24 - Parkinson’s Disease Prediction - XGBoost Classifier
Day 25 - House Price Prediction - Random Forest Regression
Day 26 - Customer Segmentation Using ML - K-Means Clustering
Day 27 - Home Loan Prediction - Decision Tree Classifier
Day 28 - Spam Classification - NLP
Day 29 - Hand-Written Digit Recognition Using Python - CNN
Day 30 - Churn Prediction - Deep Learning
Who can Apply?
- Anyone who wants to Data Science using Python.
- Looking for a career in Data Science.
Prerequisite
- No basic required.
What you will get?
- Webinar Participation E-Certificate* shall be provided to the participants.