Featured post

Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

Related Posts How to write multiple IF-conditions in Python Simplified

Course Topics You Need to Know Before You Take Course on Excel

Hey, you want to be master in Excel. There are 4 parts in this course. These contents cover all the functionalities you need to work with Excel.
Excel is one of the tools to be used in data analytics
Why I have given contents means these you must ask your tutor if present in the course or not. This list useful to start a career in analytics.

List of Excel Course Topics

Part-1 - Importing Data from other sources

  • Import or Export data from multiple data sources

Part-2 - Converting data Excel ready

  • Formatting the data understand by EXCEL.

Part-3 - Data Mining

  • Formulas you need for Data cleaning.

Part-4- Excel Data Analysis Tools

  • Data analysis using statistical methods, Charts and Pivot Tables

Comments

Popular posts from this blog

Hyperledger Fabric: 20 Real Interview Questions

Best Machine Learning Book for Beginners

Python Assigning Multiple Values at Once