HOW TO BECOME A BEST AND AMAZING DATA SCIENTIST

 WHAT IS DATA SCIENTIST ?

Data  scientist is an one branch that relating to more than scientific knowledge and is an interdisciplinary research subjects. Its uses many scientific methods. Processes, Algorithms and systems to extract knowledge and insights from Structured and Unstructured data and Creates programming code with combines its statistical knowledge. Data scientist  is the methods of collecting ,modelling and analyzing, Visualization of past and present data to extract insights that support making. There are several methods, process and techniques to perform depending on the industry and the aim of the analysis.

How do I get a good data science job?

 

Now explain own my studies Data scientist with Python Course Continued from SMILE and Research practically and follow-up from many Data scientist in my Social Media account as TWITTER, YOUTUBE and INSTAGRAM, Then Collect some topics. What's need mostly important subjects in require to get a better job or Privately own working in this field ? At last found many decision about Data Science. Mostly Data science  is a very very Large area in the world so couldn't completed about that. Thus decided gain my knowledge and experience as mostly necessary subjects are require in this industry or field, Sharing to others my companion for built a great and amazing Carrier.

DATA SCIENTIST JOB ROADMAP :

Let's now explain Important Roadmap  and some popular best BOOKS and PDF to mostly know and learn about that to become a well - DATA SCIETIST JOB .

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

1. STATISTICS

 2. PROGRAMMING

3. MACHINE LEARNING AND DEEP LEARNING

4. DATA VISUALIZATION EXTERNAL TOOLS

5. LINUX AND VERSION CONTROL 

6.  DATA ANALYSIS METHODS

7. DATA ANALYSIS TECHNIQUES

1. LEARN ABOUT STATISTICS :

Statistics is the study of the Collection, Analysis, Interpretetion, Presentation and organization of data. Analyze the primary data build a statistical model predict the future outcome. Mainly based on numbers or statistical values useful in providing complete insight to the data.

* Mean, Median and Mode

* Dy/Dx- Actual meaning

* Optimization and  gradient descent

* Plot simple functions

* Basic probability distributions and Normal Distribution

* Mathematics for Chart and Graphs

Skills in Mathematics - Play with Graphs for JEE Main and Advanced 

by Amit M Agarwal 

4.5 out of 5 stars    

2. LEARN ABOUT PROGRAMMING :

* Python Basics

* Numpy and Scipy

* Pandas

* Matplotlib/Seaborn

* Idea of Time complexity of Algorithms

* Storing  data to the database

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython.

3. LEARN ABOUT MACHINE LEARNING AND DEEP - LEARNING :

* Sklearn

* To build a neural network

* To use tensorflow _hub

* To use the tensor-board

MATHEMATICS  for  MACHINE LEARNING BOOK  PDF - FREE

TO DOWNLOAD LINK BELOW :

https://mml-book.github.io/book/mml-book.pdf

4. LEARN ABOUT BIG DATA AND EXTERNAL DATA - VISUALIZATION TOOLS :

* Tableau

* Excel and VBA

* Hadoop

* AWS

 

5. LEARN ABOUT LINUX AND VERSION CONTROL :

* Linux Basics from Code with Harry Linux

* Git from code with Harry Git

* Github trending repositories

* Scrape data from various websites

* Read and collect news from various sources

6.  LEARN ABOUT DATA ANALYSIS METHODS :

* Cluster Analysis

* Cohort Analysis

* Regression Analysis

* Factor Analysis

* Neural Analysis

* Data Mining

* Text Analysis

7. LEARN ABOUT DATA ANALYSIS TECHNIQUES :

* Collaborate your needs

* Establish your questions

* Clean your Data

* Set your KPIs

* Omit useless data

* Data democratization

* Build a data management roadmap

* Integrate Technology

* Answer your questions

* Visualize your data

* Interpretation of data

* Consider autonomous technology

* Build a narrative

* Share the load

 

Please write something your great thought about this topic