How to become a data scientist by Mariana Santa Maria

How do you become a data scientist? What are the must-have abilities?

marianamoreiranunes — 2022-09-07 15:28:06 UTC

You should get familiar with the way computers work.

2022-09-08 17:23:02 UTC

If I were you, I'd start by learning the basics of computer programming. You can do this by taking free online courses, like the one included in this post.

Gabryel Rickheim, Gustavo Mansur

Skills you should master to be a data scientist

2022-09-08 17:25:30 UTC

Filipe Muniz, Wesley Terrão

You'd better make sure that you actually like working in that area.

2022-09-08 17:26:37 UTC

You can be the best data scientist there is, but it's no use if you don't like working as one. You should make sure you know what you're getting into before commiting to it.

Gabryel Rickheim, Gustavo Mansur

You'd better get familiar with any programming language

2022-09-08 17:27:23 UTC

Before starting, you should get familiar with any programming language, even if it's a really basic one. This is great so that you have a basis once you start learning more advanced languages, because the logic you learned carries over to any language.

Gabryel Rickheim, Gustavo Mansur

You should choose an area to focus on.

2022-09-08 17:33:59 UTC

In the vast world of data science, there are many different fields of expertise one can specialize in. You should find the one that is right for you.

Gabryel Rickheim, Gustavo Mansur

You should get a basic understanding of data analysis, tools and techniques.

2022-09-08 17:38:31 UTC

When learning to write sentences, you must be familiar with grammar in order to construct proper sentences. Similarly, before you can create high-quality models, you need to understand statistics. Machine Learning begins with statistics and evolves. Even the concept of linear regression is a statistical analysis concept that has been around for a long time.

Filipe Muniz, Wesley Terrao

You'd better get a formal education

2022-09-08 17:39:52 UTC

In this area a degree is not necessary, but it will give you an edge when trying to get hired. So getting a degree will get you more opportunities to get a job.

Gabryel Rickheim, Gustavo Mansur

You must have knowledge of programming language

2022-09-08 17:42:23 UTC

Data scientists must be proficient in advanced statistical modeling tools and have a deep understanding and knowledge of programming, in addition to having a strong foundation in mathematics and statistics. There are a variety of programming languages that are preferred for the role of a data scientist.

Filipe Muniz, Wesley Terrão

Don't focus on data science, but on solving business problems.

2022-09-08 17:43:40 UTC

To be a data scientist, you need to become a computer technician to get a feel for programming and study.
Like any self-proclaimed data scientist, he/she must be an expert in hacking, math, and statistics, and still have substantive expertise in the field she works in.

Guilherme Souza e Guilherme Silva

You must have knowledge of data wrangling and data exploration

2022-09-08 17:46:21 UTC

The initial phase in your data analysis process is exploratory data analysis (EDA). Here, you’ll figure out how to make sense of the data you have, as well as what questions you want to ask and how to phrase them, as well as how to best modify your data sources to get the answers to the problem currently being considered. This is done by looking at patterns, trends, outliers, unexpected outcomes, and so on. Data manipulation and wrangling, on the other hand, can take a long time but can ultimately help you make better data-driven judgments. Missing value imputation, outlier treatment, correcting data types, scaling, and transformation are some of the common data manipulation and wrangling techniques used.
So, a data scientist must be familiar and confident in concepts of data wrangling and data exploration.

Filipe Muniz, Wesley Terrão

You should have comprehensive knowledge of machine Learning

2022-09-08 17:48:52 UTC

Machine learning is a must-have ability for any data scientist. Predictive models are created using machine learning. If you want to forecast how many clients you’ll have in the upcoming month based on the previous month’s data, for example, you’ll need to employ machine learning techniques. You can begin with simple linear and logistic regression models before progressing to sophisticated ensemble models such as Random Forest, XGBoost, CatBoost, and others.

Filipe Muniz, Wesley Terrão.

Mathematics in data science

2022-09-08 17:50:43 UTC

Math is a core educational pillar for data scientists, regardless of your future industry career path. It ensures you can help an organization solve problems and innovate more quickly, optimize model performance, and effectively apply complex data towards business challenges.

Guilherme Souza e Guilherme Silva

2022-09-08 17:52:19 UTC

To learn how to program better, it is good to use the W3school website.

Guilherme Silva e Guilherme Souza

Importance of Communication in Data Science

2022-09-08 17:54:21 UTC

Communication is key to any data science role. As a data scientist, you will be relied upon to communicate your findings and recommendations to non-technical colleagues. This may include senior management, other departments within your company, or even customers. It is therefore essential that you develop strong communication skills.

Guilherme Souza e Guilherme Silva

The language that should be taught to beginners.

2022-09-08 17:57:07 UTC

This video talks about the language that a beginner should learn and improve programming.

Guilherme Silva e Guilherme Souza

Learn python!!!

2022-09-13 22:27:23 UTC

Specifically when it comes to data science, Python is the most used language in that field. Knowing it inside and you will give you the necessary skills for the job and might even give you an edge over other people competing for your job. You should study this language emphatically and make sure you are comfortable using it.
- Eduardo, Ricardo

Jobs falling from the sky

2022-09-13 22:28:38 UTC

Basically all industries can get you hired as a data scientist, so the possibilities are endless. A few examples include health care companies, ecommerce businesses, financial firms, social networks and science-based organizations like drug companies, among many others. You should check out all of your options as there are plenty of places you can work at.
- Eduardo e Ricardo

Coding for Biden

2022-09-13 22:29:37 UTC

The government can also hire you. You should check out your national resources for jobs from the government and you can be a data scientist in the public sector.
- Eduardo e Ricardo

Expertise may or may not be required

2022-09-13 22:34:50 UTC

Knowledge and expertise of tools and programs like RapidMiner, DataRobot, Google Cloud Prediction API, Paxata, Trifacta and BigML may or may not be required, depending on the industry and position. So you shouldn't be too scared and you can learn some things as you go.
- Eduardo e Ricardo

Improve your logic

2022-09-14 23:32:10 UTC

One of the most important skills you should have is the programming logic, to develop such skill you should use math, solving math problems helps you understand some issues you might have while programming.

Daniel e João Vitor

Keep practicing

2022-09-14 23:49:31 UTC

You ought to be a criative person whilst continuesly solving programming problems, these are the key elements to be a better data scientist and problem solver

Daniel e João Vitor

Your network is your networth

2022-09-15 00:03:00 UTC

You should learn how to fluently speak english, being able to get along with different people from different countries will expand your possibilities of networking. Also, english fluency will help you learn programming languages faster.

Daniel e João Vitor

Specialization

2022-09-15 00:19:10 UTC

You should choose a area to focus on, keeping an eye open and getting yourself updated with the always changing technological market will help you decide which area to focus. Even though having a focal point is important, a broad vision is necessary to not get limited

Daniel e João Vitor

#ad

2022-09-15 00:33:42 UTC

This is a nice platform that you should look into to learn algorithms and programming languages

Daniel e João Vitor

You must have knowledge of some areas

2022-09-15 10:59:05 UTC

To become a data scientist is important to secure that all of these areas have a good foundation in your education

Felipe C. e Kaique

It's important to know where you work

2022-09-15 11:05:30 UTC

You should listen to some professionals of the area to learn a little more

Felipe C. e Kaique

Keep doing what you do best

2022-09-15 11:15:46 UTC

Focus on what you do, only then will you evolve at work, becoming better at what you do every day

Felipe C. e Kaique

You should never stop studying

2022-09-15 11:20:55 UTC

data science is not a simple job, always keep studying on your own, technology is always evolving so it is very important that you are prepared

Felipe C. e Kaique

Some important topics you ought to know

2022-09-15 11:26:20 UTC

Statistical analysis and computing
Machine Learning
Deep Learning
Processing large data sets
Data Visualization
Data Wrangling
Mathematics
Programming
Statistics
Big Data

Some data scientists have a Ph.D. or Master’s degree in statistics, computer science, or engineering. This educational background provides a strong foundation for any aspiring data scientist and also teaches the essential data scientist skills and Big Data skills needed to succeed in the field

Felipe C. e Kaique

Lear CPP(C++) Easy Now!!!

2022-09-16 02:53:46 UTC

C++ is a high-level programming language developed by Bjarne Stroustrup at Bell Labs. C++ adds object-oriented features to its predecessor, C. C++ is one of the most popular programming language for graphical applications, such as those that run in Windows and Macintosh environments. Your knowledge is strictly necessary if you want to become an automation developer, like Arduino, for example. Start now! Use the attached link to get a better understanding of the language:
https://www.codecademy.com/catalog/language/c-plus-plus?g_network=g&g_device=c&g_adid=518718870684&g_keyword=cpp%20tutorials&g_acctid=243-039-7011&g_adtype=search&g_adgroupid=102650142713&g_keywordid=kwd-303740143579&g_campaign=ROW+Language%3A+Basic+-+Exact&g_campaignid=10074200771&utm_term=cpp%20tutorials&utm_campaign=&utm_content=518718870684&utm_id=t_kwd-303740143579:ag_102650142713:cp_10074200771:n_g:d_c&utm_source=google&utm_medium=paid-search&utm_term=cpp%20tutorials&utm_campaign=&utm_content=518718870684&gclid=Cj0KCQjwmouZBhDSARIsALYcouq75o-u0-Sfy1_sT3WzDIv83ySrbqekmU1jm-IDD4HBleWTiOs1WhYaAknTEALw_wcB

Pedro e Vinícius

How to Become a Data Scientist in 2022: A Guide to Getting an Entry-Level Position

2022-09-28 23:46:07 UTC

There’s no doubt that a career in data science can be both personally rewarding and financially lucrative, but you shouldn’t opt into it lightly. Make no mistake — becoming a data scientist takes time, effort, and dedication.

That said, if you’re determined to make your mark on the field, we can help you start on the journey! Below, we’ve covered the steps you’ll need to take when aspiring to enter the data science field.

1 - Choose a path
2 - Brush up on essentials skills
3 - Get an Education
4 - Know What to Expect From an Entry-Level Role
5 - Boost Your Hiring Potential

- Felipe de Andrade Nascimento

https://bootcamp.pe.gatech.edu/blog/how-to-become-data-scientist/

"How Would I learn Data Science If I had to Start Over", by Ken Jee.

2022-09-28 23:48:53 UTC

In this video, the YouTuber Ken Jee talk about how he would learn data science if he had to start again from scratch.

Learning data science and machine learning is a little bit different for everyone, but hopefully this video will help you to build the necessary foundation to tackle these fields.

- Felipe de Andrade Nascimento

https://www.youtube.com/watch?v=4OZip0cgOho

Liz Simmons talking about How to Become a Data Scientist

2022-09-28 23:51:22 UTC

A subfield of computer science, data science is the study of large quantities of data.

A relatively new and quickly growing field, data science offers excellent career opportunities. Glassdoor ranks data scientist as the third best job in the U.S. for 2022, citing high job satisfaction, top salaries, and abundant job openings.

- Felipe de Andrade Nascimento

https://www.computerscience.org/careers/data-science/how-to-become/

Career Switch: How to Become a Financial Engineer as a Data Scientist

2022-09-28 23:53:45 UTC

Perhaps a career as a data scientist was a perfect fit from the start. It’s like looking for a needle in a haystack: this is an incredibly sought-after and competitive position, especially at the higher pay levels.

Now, you are open to possibilities at the moment. If you wish to switch careers, how can you put your existing skill set to use?

- Felipe de Andrade Nascimento

https://medium.datadriveninvestor.com/career-switch-how-to-become-a-financial-engineer-as-a-data-scientist-cbbc42df269b