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Development Data Science

Data Science with Python Course : Hands-on Data Science 2021

Numpy, Pandas, Matplotlib, Scikit-Learn, WebScraping, Data Science, Machine Learning, Pyspark, statistics, Data Science
Rating: 4.4 out of 54.4 (432 ratings)
7,629 students
Created by Ankit Mistry, Data Science & Machine Learning Academy
Last updated 11/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • You will Learn one of the most in demand skill of 21st century Data Science
  • Add Data science skills : python, numpy, pandas, plotly, tableau, machine learning, statistics, probability in your resume
  • Apply linear regression and logistics regression on real dataset.
  • Crash course on python
  • Apply matrix operation with Numpy - Numerical python library
  • Visualize your data with mother of all visualisation library available in Python : MatplotLIb
  • Perform Data analysis, wrangling and cleaning with pandas library
  • Get hands on with interactive visualisation library Plotly
  • Getting start with data visualization tool, Tableau
  • Data Pre-processing technique - Missing data, Normalization, one hot encoding,
  • Importing data in Python from different sources, Files
  • Web Scraping to download web page and extract data
  • Data scaling and transformation
  • Exploratory Data analysis
  • Feature engineering process in Machine Learning system design
  • Machine learning theory
  • Apache spark installation : pyspark
  • Getting started with spark session
  • Mathey required for machine learning : Statistics, probability
  • Setup Data Science Virtual machine on Microsoft Azure Cloud

Course content

27 sections • 153 lectures • 15h 39m total length

  • Preview05:40
  • Preview07:08
  • Overview Of Jupyter Notebook
    08:47
  • Notes About Course
    03:24
  • Course FAQ
    00:22
  • Join Online Classroom
    00:14
  • Introduction
    2 questions

  • Introduction - Python
    01:40
  • Python - Number, String, Variable
    11:41
  • Python - List, tuples, Dictionary, Set
    12:46
  • Python - If/else, Looping
    10:47
  • Python - Function, Lambda, Map
    13:03
  • Python
    11 questions
  • Python Exercise
    00:32
  • Scrap Google home page title.
    1 question

  • Introduction - Numpy - Numerica Python
    03:15
  • Preview14:06
  • Numpy array operations
    06:14
  • Indexing, Slicing - Numpy array
    10:09
  • Quiz
    6 questions
  • Numpy Exercise
    00:14

  • Introduction - Pandas
    02:32
  • Pandas - Introduction to Series
    07:01
  • Preview11:29
  • Dataframe - Index, Multiindex
    08:38
  • Handling Missing Data - dropna, fillna
    07:52
  • Grouping data
    10:37
  • Read, Write .csv, .html, excel file
    05:20
  • Visualization of data with pandas
    07:27

  • Introduction
    02:53
  • Why Visualization ?
    00:27
  • MatplotLib - Basic plotting, Plotting terminology
    09:40
  • MatplotLib - Subplots
    04:12
  • Matplotlib - Special plot
    03:32
  • Matplotlib
    8 questions

  • Plotly - introduction
    03:01
  • Basic plotting - plotly
    08:00
  • Exercise : Extend Basic Plot
    00:08
  • Preview10:27
  • Plotly - Bar chart
    04:09
  • Exercise : Extend Bar Chart
    00:09
  • Plotly - Bubble chart
    03:28
  • Plotly - Histogram and Distribution plot
    11:48
  • Plotly
    1 question

  • Introduction to Tableau and Installation
    07:06
  • Insight -1
    12:30
  • Preview09:10
  • Load Data in Tableau
    04:50
  • Save Tableau Worksheet
    03:08

  • Introduction to Data, Continuous and Discrete Data
    08:56
  • Nominal and Ordinal Data
    08:34
  • Identify Types of Data
    6 questions

  • Introduction
    01:47
  • Reading Plain text file
    04:39
  • Reading .csv file
    07:24
  • Reading Excel and .m Matlab file
    04:05
  • Read Sqlite Database
    03:52
  • Fetch Data from Remote file
    06:50
  • Preview09:09

  • Preview02:06
  • Reading Data
    05:17
  • Handling Missing Data
    08:44
  • Categorical Data
    Preview10:59
  • Splitting Data in Training and Testing Set
    03:49
  • Normalize Data
    07:38

Requirements

  • Basic of Python programming
  • High school mathematics

Description

Welcome to Complete Ultimate course guide on Data Science and Machine learning with Python.

Have you ever thought about

How amazon gives you product recommendation, 

How Netflix and YouTube decides which movie or video you should watch next,

Google translate translate one language to another,

How Google knows what is there in your photo,

How  Android speech Recognition or Apple siri understand your speech signal with such high accuracy.

If you would like algorithm or technology running behind that,  This is first course to get started in this direction.

==============================================

This course has more than 100 - 5 star rating.

What previous students have said: 

"This is a truly great course! It covers far more than it's written in its name: many data science libraries, frameworks, techniques, tips, starting from basics to advanced level topics. Thanks a lot!  "

"This course has taught me many things I wanted to know about pandas. It covers everything since the installation steps, so it is very good for anyone willing to learn about data analysis in python /jupyter environment."

"learning valuable concepts and feeling great.Thanks for this course."

"Good explanation, I have laready used two online tutorials on data -science and this one is more step by step, but it is good"

"i have studied python from other sources as well but here i found it more basic and easy to grab especially for the beginners. I can say its best course till now . it can be improved by including some more examples and real life data but overall i would suggest every beginner to have this course."

"The instructor is so good, he helps you in all doubts within an average replying time of one hour. The content of the course and the way he delivers is great."

==================================================

Why Data Science Now?

Data Scientist: The Sexiest Job of the 21st Century - By Harvard Business review

There is huge sortage of data scientist currently software industry is facing.

The average data scientist today earns $130,000 a year  by  glassdoor.

Want to join me for your journey towards becoming Data Scientist, Machine Learning Engineer.

This course has more than 100+ HD -  quality video lectures and is over 13+ hours in content.

This is first introductory course to get started data analysis, Machine learning and towards  AI algorithm implementation

This course will teach you - All Basic python library required for data analysis process.

  • Python  crash course

  • Numerical Python - Numpy

  • Pandas - data analysis

  • Matplotlib for data visualization

  • Plotly and Business intelligence tool Tableau

  • Importing Data in Python from different sources like .csv, .tsv, .json, .html, web rest Facebook API

  • Data Pre-Processing like normalization, train test split, Handling missing data 

  • Web Scraping with python BeautifulSoup - extract  value from structured HTML Data

  • Exploratory data analysis on pima Indian diabetes dataset

  • Visualization of Pima Indian diabetes dataset

  • Data transformation and Scaling Data -  Rescale Data, Standardize Data, Binarize Data, normalise data

  • Basic introduction to What is Machine Learning, and  Scikit learn overview Its type, and comparison with traditional system. Supervised learning vs Unsupervised Learning

  • Understanding of regression, classification and clustering

  • Feature selection and feature elimination technique.

  • And Many Machine learning algorithm yet to come. 

  • Data Science Prerequisite : Basics of Probability and statistics

  • Setup Data Science and Machine learning lab in Microsoft Azure Cloud

This course is for beginner and some experienced programmer who want to make career in Data Science and  Machine learning, AI.

Prerequisite:

  • basic knowledge in python programming (will be covered in python )

  • High School mathematics

Enroll in this course, take look at brief curriculum of this course and take first step in wonderful world of Data.

See you in field.

Sincerely,

Ankit Mistry


Who this course is for:

  • Anyone who is interested in DataScience
  • Anyone who wants to learn - How to analyze data
  • Those who want to make career in Data analytics, Machine learning, DataScience

Instructors

Ankit Mistry
Software Developer | I want to Improve your life & Income.
Ankit Mistry
  • 4.2 Instructor Rating
  • 2,044 Reviews
  • 45,206 Students
  • 16 Courses

I am Ankit Mistry, completed my master from IIT Kharagpur in area of machine learning, Artificial intelligence.Now working as Software Developer, Big Data Engineer in one of leading private investment bank with 8+ years of experience in software industry. 
Over the time I developed interest related to data discipline and  learned about data analysis, machine learning model development.

Created course in area of Python, Data Science, Data analysis, Machine Learning.

I am so excited to be on Udemy online learning platform and want to make big impact on your software career.

I hope you will like my course offering.

Data Science & Machine Learning Academy
Helping people to analyze data
Data Science & Machine Learning Academy
  • 4.3 Instructor Rating
  • 1,599 Reviews
  • 26,114 Students
  • 8 Courses

This is Data Science & Machine Learning academy by Ankit Mistry. Main aim is to help software engineer for analysis of data by teaching various latest trending technological skills like python, Machine Learning, data Science, R, Big-Data, Numpy, Pandas.

Keep Learning.

I Hope you like course we offer.

Happy Learning

Regards

Data Science & Machine Learning Academy by Ankit Mistry

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