Data Science

About Course

The hottest carrer path of this decade.
Before understanding Data Science let’s first understand importance of Data. You will be surprised to know that 90% of the apps in your phone is using Data to take your experience to next level be it zomato, flipkart, amazon, instagram etc. Companies has tons of data with them, I have been talking about this Data but what data is it? It is basically information about how you visit any app, what are the things you prefer, how much and when you buy etc. Now with this data they optimize their apps for you and hence making your experience good.
Okay enough about Data, now Data Science is simply understanding this data and providing the results. Now you know what is all this buzz about Data Science and why it is soo important! In this course we will be learning that and making you ready to handle Data of these big companies I mentioned above. Starting from very scratch we will cover thing you need to get your dream job.
What are you waiting for? Enroll Now!

The course provides the entire toolbox you need to become a data scientist
Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
Unfold the power of deep neural networks
Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn

Course Content

Introduction to the Course

03:42

Data Science Intro

Excel – Data Analysis and Visualization

Introduction to Python

Probability

Statistics

Advanced Python Tools

NumPy Part 1

04:46
NumPy Part 2

06:11
NumPy Part 3

04:54
NumPy Part 4

06:44
Pandas Part 1

08:33
Pandas Part 2

07:45
Matplotlib Part 1

07:34
Matplotlib Part 2

06:12
Matplotlib Part 3

06:29
Matplotlib Part 4

08:17

Exploratory Data Analysis

Maths for DS

Deep Learning

Introduction to Deep Learning

05:51
Getting started with ML

06:28
How does ML work

04:22
Data Cleaning

06:36
Data Processing

05:00
Preprocessing in Python – Feature Scaling

13:53
Preprocessing in Python – Label Encoding

13:45
ML Classifications

04:50
ML – Regression

07:01
ML Algorithms

11:24
Classification Model

09:31

About Course

What Will You Learn?

Course Content

Data Science

Introduction to the Course

Data Science Intro

DataScience

Understanding Buzzwords

Excel – Data Analysis and Visualization

DA-Excel

DA Excel 2

DA Excel 3

Introduction to Python

Introduction to Python

Control Structures and Functions – Part 1

Control Structures and Functions – Part 2

Data Structures – Tuples

Data Structures – Lists

Data Structures – Sets

Data Structures – Dictionary

Class and Objects

Probability

Basics of probability

Conditional and Bayes

Random Variable and Discrete Probab

Continuous Random Variables

Central Limit Theorem

Statistics

Statistics in Data Science

Measures of Central Tendency

Measures of Dispersion

Hypothesis Testing

Types of errors

Regression Analysis

Underfitting and Overfitting

Types of Regression Analysis

Correlation and Regression

Advanced Python Tools

NumPy Part 1

NumPy Part 2

NumPy Part 3

NumPy Part 4

Pandas Part 1

Pandas Part 2

Matplotlib Part 1

Matplotlib Part 2

Matplotlib Part 3

Matplotlib Part 4

Exploratory Data Analysis

EDA

Maths for DS

Matrix Vectors

Numpy, LinearAlgebra Matrix for analysis

What is a Tensor

Deep Learning

Introduction to Deep Learning

Getting started with ML

How does ML work

Data Cleaning

Data Processing

Preprocessing in Python – Feature Scaling

Preprocessing in Python – Label Encoding

ML Classifications

ML – Regression

ML Algorithms

Classification Model

Neural Networks

Introduction to Neural networks

How do neural networks work_

Neural Network from Scratch

Project – Covid 19 Analysis

Case Study – Part 1

Case Study – Part 2

Case Study – Part 3

Project – Rainfall Prediction

Rainfall Prediction Part 1

Rainfall Prediction Part 2

Project – Tumor Detection

Case Study – Tumor Detection Part 1

Case Study – Tumor Detection Part 2