Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Complete Guide to Careers in Data Science

    Posted By: Sigha
    Complete Guide to Careers in Data Science

    Complete Guide to Careers in Data Science
    .MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 763 MB
    Duration: 2 hours | Genre: eLearning Video | Language: English

    Interview Preparation with NO experience in Data Science including questions and answers


    What you'll learn

    Get 80 Data Science Interview Questions and Answers
    4 Mantras for Guaranteed Success
    Do's and Don'ts of Preparation
    Efficient job search
    Tool Selection : R or Python
    Creating an outstanding Resume
    Get Comprehensive List of Topics to Prepare for Data Science Interviews
    Get an idea to add Data Science achievements

    Requirements

    No experience in Data Science
    Basic understanding of Statistics, Probability, Machine Learning, SQL, R or Python will be a plus
    If you don't know any of the above subjects then it's okay you will get a list of topics that should be studied for a Data Science job

    Description

    Data Scientist is the sexiest job of the century and there are many reasons as high compensation, experiencing diverse domains, solving interesting real-life problems, and it is very unique.

    This complete guide will answer all your queries regarding careers in Data Science such as:

    1. Effective job search

    2. 4 Mantras for Guaranteed Success

    3. Educational Requirements

    4. Creating an Outstanding Resume

    5. Why choose a career in Data Science

    6. Is Data Science for YOU?

    7. Interview Questions and Answers

    8. Do's and Don'ts of Preparation

    9. Job Titles in Data Science

    10. How to choose between R and Python?

    11. Level of expertise required in these tools

    and so many other queries.

    Who this course is for:

    Anyone who wants to become a Data Scientist

    Complete Guide to Careers in Data Science