Data Science Academy

Algorithm! What is it? You hear this word everyday and everywhere you go. It is what YouTubers blame for their lack of success on YouTube. It is what social media influencers blame for their decreased audience reach on Facebook, Twitter, Instagram, and other social media platforms. It is what marketers blame for their lack of success with google SEO while simultaneously thanking algorithms for marketers targeted success with digital advertising. It is what the Russians used to elect Donald Trump as U.S. President in 2016 by using Facebook User and Advertisement platform. It is what allowed a system called AlphaZero by DeepMind to use algorithms to teach itself chess, shogi, and go games without human beings teaching it anything at all. This AlphaZero system then went on to defeat the world champions in go, shogi, and chess game.

Havard Journal of Law and Technology Research Paper: https://jolt.law.harvard.edu/assets/articlePDFs/v31/The-Artificial-Intelligence-Black-Box-and-the-Failure-of-Intent-and-Causation-Yavar-Bathaee.pdf

Propublica Research Paper: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

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Read the show notes: https://evidencen.com/the-dangers-and-consequences-of-black-box-algorithms/

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My Data science Podcast: https://datascienceacademypodcast.com/

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My Github Page: https://github.com/EvidenceN

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What career paths are available with a data science education? Have you ever wondered if there are alternatives to being a data scientist or what career paths a data science education could lead you to? Well, in this article, I have outlined career paths that are possible with a data science education. This list gives you an idea of careers that are related to data science. With a data science education, your career can progress vertically which means you could become a senior data scientists, lead data scientist, and chief data science officer. Or, your career could move horizontally where you progress from being a data scientist to a data engineer to a data architect. With a data science education, you have many different career options now and in the future.

U.S. Salary information is from Payscale.com and this salary information is for U.S. Averages only. This number is much higher for tech hub cities like San Francisco California, New York City, Seattle Washington, and other tech hub cities. This salary information is also higher with experience and mastery of difference skills. A lot of the skills required for all these careers overlap, that is why it makes for an easy transition from data science to any of these careers listed below. You can easily transfer your skills from data science to other career paths and industries.

Click here to become a member of our data science community where you can share your data science knowledge and learn from other data scientists and it is FREE. Whether you are an aspiring data scientist or already in the data science field, you are welcome to join us. If you are currently working in the technology field or aspiring to enter the IT field, this would be perfect for you.

Click here to read the full blog and show note: https://evidencen.com/27-data-science-career-options/

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In this audio, i share with you the questions i was asked during my Lambda school data science interview and why they asked those questions. 6 detailed questions with their answers as well as explanation of lambda school process. This will help you pass your Lambda school interview.

In this video, i share with you the questions i was asked during my Lambda school data science interview and why they asked those questions. 6 detailed questions with their answers as well as explanation of lambda school process. This will help you pass your Lambda school interview.

Time Stamps
Subscribe, Thumbs up, and Share, Thanks!!!Question 1: 3:09
Question 2: 4:21
Question 3: 6:45
Question 4: 9:24
Question 5: 13:45
Question 6: 15:19
Subscribe, Thumbs up, and Share, Thanks!!!

Visit my website: https://evidencen.com/

My Data science and software engineering Youtube page: https://www.youtube.com/evidencen

Exclusive Data Science Community: https://datascienceacademy.mn.co/

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Lambda School Website
https://lambdaschool.com/

Interview Questions Blog
https://evidencen.com/lambda-school-interview-questions-and-process/

My Website
https://evidencen.com/

Udacity introductory python course
https://www.udacity.com/course/programming-foundations-with-python--ud036

Codecademy Python course
http://ssqt.co/mQffenZ

Lambda School Pre-Course Work Review
https://youtu.be/cgy1fJAexx0

How to Calculate Mean, Median, and Mode in Python
https://youtu.be/NOyj6okE24Y

Lambda School Playlist
https://www.youtube.com/playlist?list=PLpoCVQU4m6j_cC-gczgvUXBlrPpwpaUJg

Data Science Playlist
https://www.youtube.com/playlist?list=PLpoCVQU4m6j9uhva116rt6r7gLnXjNuif

Python Playlist
https://www.youtube.com/playlist?list=PLpoCVQU4m6j-hA3KhELHo-_SRKINbVgib

Statistics Playlist
https://www.youtube.com/playlist?list=PLpoCVQU4m6j9FnYZoNDTebOjcqUhXnseB

Web Dev Playlist
https://www.youtube.com/playlist?list=PLpoCVQU4m6j8Bxmc59e8_TBlyaMYA0aBA

This video shows you 4 things you need to be doing to prepare for lambda school data science program before your program starts. How to prepare for any data science program / school that is not lambda school.

Read the blog here: https://evidencen.com/how-to-prepare-for-lambda-school-data-science-program/

Watch the Youtube Video Here:
https://youtu.be/-pjirWuDdPs

Visit my website: https://evidencen.com/

My Data science and software engineering Youtube page: https://www.youtube.com/evidencen

Exclusive Data Science Community: https://datascienceacademy.mn.co/

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Learning Resources

Python:

Udacity - https://www.udacity.com/course/introduction-to-python--ud1110

Codecademy - https://www.codecademy.com/learn/learn-python-3

Book - https://jakevdp.github.io/PythonDataScienceHandbook/

W3 School - https://www.w3schools.com/python/

Statistics:

Udacity - https://www.udacity.com/course/statistics--st095

Codecademy Python - https://www.codecademy.com/learn/learn-statistics-with-python

Codecademy R - https://www.codecademy.com/learn/learn-r

R:

Codecademy - https://www.codecademy.com/learn/learn-r

Udacity R - https://www.udacity.com/course/data-analysis-with-r--ud651

Udacity Georgia Tech - https://www.udacity.com/course/data-analysis-and-visualization--ud404

W3 School - https://www.w3schools.in/category/r/

SQL:

Codecademy SQL - https://www.codecademy.com/learn/learn-sql

Codecademy Analyze data skill path - https://www.codecademy.com/learn/paths/analyze-data-with-sql

W3 School - https://www.w3schools.com/sql/default.asp

Udacity - https://www.udacity.com/course/sql-for-data-analysis--ud198

Learn Math and Statistics:

Linear algebra refresher course by Udacity

https://www.udacity.com/course/linear-algebra-refresher-course–ud953

Introduction to discrete mathematics by UC san Diego in Coursera

https://www.coursera.org/specializations/discrete-math

You can basically search around on Codecademy, Coursera, Udacity, and W3 school to find different courses in relation to data science that fits your need.

What exactly is data science? Is it a buzzword? A fancy way of saying advanced statistics and analytics? Or is it a mystery? Well, let’s find out.

This podcast covers:

• What data science is
• What the data science life cycle is
• And what tools data scientists use to do their work.

There are 5 stages to the data science process:
Stage 1: Capturing the Data
Stage 2: Maintaning the Data
Stage 3: Processing the Data
Stage 4: Analyzing the Data
Stage 5: Communicating the Data

Click here to read the full blog: https://evidencen.com/what-is-data-science-a-mystery-or-not/

Visit my website: https://evidencen.com/

My Data science and software engineering Youtube page: https://www.youtube.com/evidencen

Exclusive Data Science Community: https://datascienceacademy.mn.co/

Follow me on twitter: https://twitter.com/evidencenmedia

My linkedin page: https://www.linkedin.com/in/evidencen/

Follow me on instagram: https://www.instagram.com/evidencenmedia/

Contact me: https://evidencen.com/contact-me/

Suggest your content idea: https://evidencen.com/suggestions/