Discover and read the best of Twitter Threads about #DataScientist

Most recents (11)

As an aspiring #DataScientist, one way to showcase your skills is to build interesting portfolio projects.

Here’s a guide on how to develop interesting data science project ideas & implement them.

Step 1: Choose your passion topic that is relevant.

#DataScience
Step 2: Start Scraping together your own #dataset.

Step 3: Cleaning your dataset (here’s where #datascientists spend about 60% of their time).

Step 4: Data Exploration and Analysis.

Step 5: Share your work on a blog or a popular forum/community.
Read the full article by @FelixVemmer here.
Cc: @Websystemer

A step-by-step guide for creating an authentic data science portfolio project

medium.com/@felix.vemmer/…
Read 3 tweets
Please help us welcome our next curator Darryl Takudzwa Griffiths. @BlaqNinja completed his Bachelors Degree in Computer Engineering at DUT, graduated in 2011. Due to struggling to find suitable employment he went on to study multiple certificates from bodies such as Microsoft.
He has certificates in N+ (Computer Networking), A+ (Computer Technician & Technical Support), Certified Ethical Hacking V7 (CEH v7), Offensive Security Certified Professional (OSCP). Sadly even with these, he could not secure his desired post so in 2016 he moved to USA.
Darryl was able to secure a job in a corporation that owns casinos as a system analyst & security architect. Within the same year he embarked on a Masters degree in Robotics & Artificial Intelligence Engineering. In 2017 he resigned from his post and started his own company...
Read 99 tweets
As #bioinformatician #biostatistician #DataScientist, have you ever felt you've done lots of work, yet achieved nothing? here is how to change that! A thread 👇 1/n
1 - #document rigorously your computing work - same as bench scientists do on experiments. Document your initial thoughts on data, your decisions, tests, issues, how you solved them, how you tried various tools, how you picked one over others. These are all *achievements*. n/1
2 - #track your tasks and efforts - make it quantitative. Write a weekly checklist on GitHub wiki; update and check it off at the end of a day. Version control your codes; push meaningful commits. Be aware of your time spent on each task. Numbers may be boring, but effective. 2/n
Read 13 tweets
What's the difference between a Data Engineer , a Data Analyst & a Data Scientist?

If you want to make sure you don’t lose your job in the next five years, you probably want to know something about Big Data, or even switch to a data-related career.
#Thread
#DataScience #Data
You don’t need to be an excellent statistician or a high-class mathematician to work in data science or analytics, nor do you need a lot of prior programming knowledge.
- Dr. Rebecca Pope (Head, Data Science d Engineering at KPMG)

#DataScience #Data #DataAnalyst #Statistics
However, you do need an interest in statistics, you do need to be willing to learn how to code, and you do need to know how to do some high level mathematical operations. Data scientists are not just statisticians.

#DataScience #Data #DataAnalyst #Statistics
Read 12 tweets
Looking for reasons to venture into #datascience?

👉 Here are 10 reasons to help you decide

1. It’s in Demand
It is the fastest growing job on @LinkedIn and is predicted to create 11.5 million jobs by 2026. This makes Data Science a highly employable job sector.

#Thread Image
2. Abundance of Positions
There are very few people who have the required skill-set to become a complete #DataScientist. This makes Data Science less saturated as compared with other IT sectors. Therefore, Data Science is a vastly abundant field and has a lot of opportunities. Image
3. A Highly Paid Career
Data Science is one of the most highly paid jobs.

4. Data Science is Versatile
There are numerous applications of Data Science. It is widely used in #healthcare, #banking, consultancy services, and #e-commerce industries.
Read 9 tweets
Confinement oblige, l'ADEMEC propose de partager chaque jour une ressource utile dénichée par les membres du bureau 🔎⚙️📚 Déroulez ce tweet pour y trouver lectures, outils, et autres trouvailles accessibles en ligne ! L'occasion aussi de partager les vôtres ? 🤓
[Humanités numériques 💾] Pour commencer, on vous invite à consulter l’ouvrage de Pierre Mounier [@piotrr70], “Les humanités numériques” (2018), qui nous propose, de par une histoire critique des HN, une analyse des SHS aujourd'hui. À consulter en ligne : urlz.fr/cfup
Du même auteur, associé à @marindacos et pour une approche + institutionnelle: "Humanités numériques: état des lieux et positionnement de la recherche française dans le contexte international", 2015, ici enssib.fr/bibliotheque-n…
Pour mieux savoir où on met les 🦶
Read 78 tweets
To celebrate #InternationalWomensDay , I'd like to acknowledge a few of the fearless #WomenInTechnology that I am lucky to be surrounded by. I am so grateful to have these women in my life to motivate, support and inspire me.
💡I'll start with @beeonaposy because I got this idea from a similar post she did a few years ago.

Caitlin is a lead #DataScientist, co-founder of @RLadiesAustin, advocate for women in tech, mom and all-around inspiration. Check out her blog: caitlinhudon.com/about/
🩺 @ValueVictoria is a leader in the healthcare data field. She co-founded @RLadiesAustin, which has served as a great motivation and support system for women in #ATXData to connect and learn.
Read 17 tweets
Transitioning into #DataScience: A (long) thread—
Transitioning into a new field can be cumbersome, especially #datascience which usually requires some level of #math #statistics #machinelearning #programming. But fret not!
This thread will go over the fundamentals of what you should know to become a #datascientist. First thing first, there are hundreds of tools for visualization (Power BI, Tableau, Dash), cloud computing (GCP, AWS, Azure) and SQL variants (Postgres, MSSQL, MySQL).
Don’t get caught up trying to learn all of these tools/platforms/software! You will be onboarded to these technologies and they differ highly from company to company and sometimes even department to department. But, you should be familiar with what they do at a high level!
Read 20 tweets
What's the difference between a data engineer, a data analyst and a data scientist?

If you want to make sure you don’t lose your job in the next five years, you probably want to know something about Big Data, or even switch to a data-related career.
#Thread
#DataScience #Data
You don’t need to be an excellent statistician or a high-class mathematician to work in data science or analytics, nor do you need a lot of prior programming knowledge.
- Dr. Rebecca Pope (head of data science and engineering at KPMG)
#DataScience #Data #DataAnalyst #Statistics
However, you do need an interest in statistics, you do need to be willing to learn how to code, and you do need to know how to do some high level mathematical operations. Data scientists are not just statisticians.

#DataScience #Data #DataAnalyst #Statistics
Read 13 tweets
#SDSS2019 @gdequeiroz do people need to be on Twitter to be a part of #datascience community? How do we include people who are not on twitter?
#SDSS2019 @AmeliaMN joined twitter one day apart of first opening #rstats. She encourages people to at least open a twitter account and follow people.
#SDSS2019 @dataandme ecosystem of spaces approach: different fora that exist are good for different types of interactions -- think @StackOverflow @StackStats; @RStudio created an online community; there are people who actively contribute to @GitHub
Read 36 tweets

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