https://www.youtube.com/watch?v=B5emClQf_I4
So you're trying to learn Data Science?But maybe, just maybe, you want a kick start. Well, there's no need to repeat the mistakes of others. Get up to speed

https://towardsdatascience.com/c5-key-things-i-wish-i-knew-before-starting-my-first-data-science-job-818556079665
I had limited experience with OOP and I sure wish I practised coding in this paradigm a great deal more before starting my job. My advice to any budding Data Scientist is to learn about OOP, stuff like classes, self, inheretence e.g. Then try coding some basic Machine Learning algorithm using this paradigm.

https://towardsdatascience.com/5-things-i-wish-i-knew-before-becoming-a-data-scientist-607021520be5
Learn to Code Earlier. In today's digital world, learning to code is one of the most valuable skills to have. This is especially true if you want to work in tech. For data scientists, it's hard to create value if you can't code. Being able to code let's you put theories and models into practice. A data scientist that can't create

https://towardsdatascience.com/5-things-i-wish-i-knew-when-i-started-learning-data-science-24d6f9a2d1e0
With that being said, here are my 5 THINGS I WISH I KNEW when I started learning data science: 1) Try to be a good programmer and a good statistician before being a good data scientist. If you've read my older articles, you've probably already heard me say this — a data scientist is really a modern statistician who leverages programming

https://medium.com/learning-data/5-things-i-wish-i-knew-before-my-first-job-as-a-data-analyst-3bdef1f2c6f
5 things I wish I knew before starting my first Data Analyst job 1. If you're the only tech person on the team, your coworkers may not understand what you do.

https://www.youtube.com/watch?v=B5JuCfLQ_ko
In this video, I share 5 things that I have learned on my Data Science journey and some that I am still figuring out. I provide advice to beginners so you ca

https://medium.com/deliberate-data-science/12-things-i-wish-id-known-before-starting-as-a-data-scientist-45989be6300e
'Data science' is a vague term, so treat it accordingly Data science can cover virtually any quantitative work. Two data scientists at different companies, or even within the same company

https://www.linkedin.com/pulse/5-things-i-wish-knew-before-becoming-data-scientist-samanvay-karambhe
3. Decision making using Data Science. This could be a role of an insights analyst. This is a type of data scientist that'll be working inside of a company to figure out how best to optimise the

https://www.kdnuggets.com/2018/03/5-things-before-rushing-data-science.html
Here are 5 important things that I wished I had known a year ago when I decided to start a Data Science journey: 1. High school Math is fundamental for Data Science. Matrix calculations, derivatives, eigenvalues, Set Theory, functions, vectors, linear transformations, etc. are extremely important to understand the theory behind statistical

https://www.linkedin.com/pulse/things-i-wish-knew-before-starting-data-science-serrano-figueroa
So to help you avoid the same mistakes, here are some things I wish I knew before getting in Data Science. Learn to code as early as possible Learning to code is one of the most important talents

https://medium.com/@shsobieski/10-things-i-wish-i-knew-before-i-started-my-first-data-science-8a56e75ea61d
What I wish I knew from the beginning was to separate them if they do multiple things. Adapting a long function to serve additional purposes is time intensive, and it won't always be possible to

https://www.youtube.com/watch?v=aHnjfbVaJ5I
5 Things I Wish I Knew Before Becoming A Data Scientist0:00 - Welcome0:20 - Data Science is NOT JUST models1:46 - Coding is VERY important 2:54 - Data Scienc

https://evanbaker.medium.com/5-things-i-wish-i-knew-before-taking-my-first-data-science-job-3050c5793e20
Two months ago, I started my first full-time position as a data scientist, working to bring machine learning to a commercial-building engineering firm. I landed the job after three months of grinding

https://sandra-maria-machon.medium.com/6-statistical-terms-i-wish-i-knew-before-starting-my-first-data-science-job-5c454991ac1c
In this article, we will explore some of the critical statistical terms that I wish I had known before starting my first Data Science job. By the end of this article, you will have a better understanding of some of the essential statistical terms that every data scientist should know, which will help you to optimise your approach and avoid

https://www.analyticsvidhya.com/blog/2020/09/10-things-know-before-first-data-science-project/
4. Fail to Explore; Prepare to Fail. Data Exploration is the most underrated step in data science. The most crucial step that beginners miss out is simply data exploration. It is fundamental to the process of data analysis and it can help you gain crucial insights at the beginning of your data science project.

https://medium.com/analytics-vidhya/top-5-things-to-know-before-starting-data-science-journey-725d06da21d8
I'm an Analytics Consultant with 5 years of experience across different verticals solving business problems with the power of data-driven Analytics and Data Science. To connect with me, feel

https://ismaelaraujo.medium.com/things-i-wish-i-knew-before-starting-a-data-science-bootcamp-252c9b2dca0f
A full-time Bootcamp requires a tremendous amount of time, effort, money, and patience. Fifteen weeks can both sound too short and long. If you're not kind to yourself and don't give yourself the time to learn, you will be overwhelmed by the end of the first week. After multiple weeks, the results can be disastrous.

https://towardsdatascience.com/10-things-i-wish-i-knew-about-learning-data-science-7a30bfb91759
on 10 Data Science Competitions for you to hone your skills for 2020.Moreover, it is also recommended to take the Coursera course on How to Win a Data Science Competition: Learn from Top Kagglers and learn about some of the best practices for winning at these competitions. You may also want to check out Abhishek Thakur's YouTube video on My Journey: How I Became The World's First 4x (and

https://www.youtube.com/watch?v=2gmkpJUW2IU
When starting out to learn data science, you sometimes have many questions about your learning journey. In this video, we discuss five things that you need t

https://www.reddit.com/r/datascience/comments/nh1as2/data_scientists_what_are_few_things_that_you_wish/
To add to the other explanations, I came across a really clean example of this the other day. I was working on a model to predict how well any given wine would sell based on 20 or so characteristics (things like acidity, sulfite content, how many stars it was rated, label appeal...), but it was riddled with missing information: around half the testing set was missing at least one data element.

https://www.reddit.com/r/learndatascience/comments/1086ykf/3_things_i_wish_i_knew_when_i_started_data_science/
3 Things I Wish I Knew When I Started Data Science Career kdnuggets.com Open. Locked post. New comments cannot be posted. Share Add a Comment ... 5 THINGS I WISH I KNEW BEFORE STARTING MY FITNESS JOURNEY youtu.be upvote r/exercisepostures. r/exercisepostures. For all things exercise and postures.

https://medium.com/@AstraStories/five-things-i-wish-i-knew-before-getting-into-data-1a53f8270ebc
My first week after graduating from the immersion Data Analytics course is almost over and while I am getting adjusted to a new learning routine, I have been spending some time reflecting on some

https://www.reddit.com/r/datascience/comments/8m0tn7/what_are_some_things_you_wish_you_known_before/
[AMA] I'm a data science manager in FAANG Edge779 Why do companies say they want to modernize their data analytics capabilities but assign the budget to hire a college intern who uses a Microsoft Excel and doesn't even know what Python is