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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.

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Resume: How to Show Data Science Project

In any project, the Data analyst role is to work with data. The data may come from multiple sources. I have explained how to put your project in your Resume.

Resume: How to Show Data Science Project

3 Steps Process Until Your Interview.

1. Preparation of Resume.

  • The first step for an interview of any project is you need Resume. You need to tell clearly about your resume. 

2. Answering about Project.

  • In interviews, you will be asked questions about your project. So the second step is you need to be in a position to explain the project.

3. Answering your Project Role.

  • The third point is you need to explain the roles you performed in your data science project. If you mention the roles correctly, then, you will have a 100% chance to shortlist your resume. Based on your experience your resume can be 1 page or 2 pages.

How to show Technologies in the Resume.

  1. In interviews, again they will be asked how you used different tools to complete your data science project.
  2. So, you need to be in a position to explain how you used different options present in the tools. Sometimes, in interviews, they may ask about the specific role in Tools specifically you used. You should be in a position to answer these questions too.

How to Prepare Resume.

  1. Write a clear description.
  2. Write a specific role.
  3. Explain Tools.
  4. Write about data flow.

1. Write a Clear Description.

In any data science project, you will find a few things like Client name, the expectation of the client, and what you are going to deliver. These things you need to present clearly in Resume.

2. Write Specific Roles.

To convince your interviewer, you need to tell about your team roles and your specific role. In general, you can find the following roles:
  • Architect.
  • Data scientist.
  • Business Analyst.
  • Development team.
  • Testing Team.
  • Integration testing team.
  • Production release team.

3. Explain Tools.

You need to present all the Tools your project is using and your specific tools. Then, in the face to face interview, you need to tell what options you used to achieve what.

For example, I used some integration tool, to receive data to the development region, and to send out after unit testing.

If you explain, these key points, I can say, 100% sure, you will be selected.

4. Write about data flow.

You need to explain how data is coming, is it in the sequential data set or document data. Something you need to tell clearly.

You also need to tell, after unit testing, which forms you will send the data to the next region. If you know this flow correctly, then you can convince easily your interviewer.

Also, Read.


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