How do I improve data science skills?

Asked by Last Modified  

3 Answers

Follow 2
Answer

Please enter your answer

Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Improving data science skills involves learning the basics of statistics, math, and programming, then applying them to real-world projects. Practice coding regularly, participate in data science competitions, and stay updated with industry trends. Understand machine learning algorithms and learn how...
read more
Improving data science skills involves learning the basics of statistics, math, and programming, then applying them to real-world projects. Practice coding regularly, participate in data science competitions, and stay updated with industry trends. Understand machine learning algorithms and learn how to use them to analyze data and make predictions. Build a network with other data science professionals and work on communication skills to effectively convey your findings. Seek feedback on your projects to accelerate your learning. It's a journey that requires dedication and continuous learning to become proficient in data science. read less
Comments

Online Mathematics tutor with 6 years experience(Online Classes for 10th to 12th)

Improving data science skills involves learning the basics of statistics, math, and programming, then applying them to real-world projects. Practice coding regularly, participate in data science competitions, and stay updated with industry trends. Understand machine learning algorithms and learn how...
read more
Improving data science skills involves learning the basics of statistics, math, and programming, then applying them to real-world projects. Practice coding regularly, participate in data science competitions, and stay updated with industry trends. Understand machine learning algorithms and learn how to use them to analyze data and make predictions. Build a network with other data science professionals and work on communication skills to effectively convey your findings. Seek feedback on your projects to accelerate your learning. It's a journey that requires dedication and continuous learning to become proficient in data science. read less
Comments

Elevating Understanding, One Equation at a Time: Your Path to Mathematical Mastery Begins Here

Improving data science skills involves learning the basics of statistics, math, and programming, then applying them to real-world projects. Practice coding regularly, participate in data science competitions, and stay updated with industry trends. Understand machine learning algorithms and learn how...
read more
Improving data science skills involves learning the basics of statistics, math, and programming, then applying them to real-world projects. Practice coding regularly, participate in data science competitions, and stay updated with industry trends. Understand machine learning algorithms and learn how to use them to analyze data and make predictions. Build a network with other data science professionals and work on communication skills to effectively convey your findings. Seek feedback on your projects to accelerate your learning. It's a journey that requires dedication and continuous learning to become proficient in data science. read less
Comments

View 1 more Answers

Related Questions

I want to learn data science in home itself bcz i dont want much time to take any coaching and also most of the institutes are asking high amount for  training. Pease lemme know how i can prepare myself.

First of all you start leaning following. 1.Database(Sql,Nosql) 2 Python,Pandas,Numpy 3 Basic Linux,Big Data(Hadoop,Scala,Spark) 4. Machine Learning 5. Deep Learning
Vishal
What background is required for data science?
Data scientists typically need at least a bachelor's degree in computer science, data science, or a related field. However, many employers in this field prefer a master's degree in data science or a related...
Shivani
0 0
5

I want to get into data science but I dont have any prior knowledge on any of the programing languages, how do I go about it?

Easiest way to get started is with simlpe tools like excel and regression. Doesn't require programming language, basic maths and statistics would suffice to get the grasp at beginner level. Next, more...
Likith

Digital Marketing vs Data Science: Which has a more fruitful career?

After Covid, the below-mentioned jobs below would have more demand in the future. Digital Marketing Website Development Copy Writing & Content Writing Social Media Marketing Graphics Designing Video Editing Blogging Translation
Ranjit
What are some suggested certifications for an aspiring data scientist?
Certified Analytics Professional (CAP) Cloudera Data Platform Generalist Certification. Data Science Council of America (DASCA) Senior Data Scientist (SDS) Data Science Council of America (DASCA)...
Trupti
0 0
5

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

Topic Modeling in Text Mining : LDA
Latent Dirichlet allocation (LDA) Topic modeling is a method for unsupervised classification of text documents, similar to clustering on numeric data, which finds natural groups of items even when we’re...

13 Things Every Data Scientist Must Know Today
We have spent close to a decade in data science & analytics now. Over this period, We have learnt new ways of working on data sets and creating interesting stories. However, before we could succeed,...

Data Scientist Survey by IBM for 2020
According to IBM, there will be an increase by 3,50,000 to 2,80,000 opening in year 2020. Finance and Professional service having expected growth by 60%

Subhasish C.

0 0
0

Beware Of Trainers Of Data Science.
Most of the trainers in the market are teaching DATA SCIENCE as 1) Some software tools like R/Python/SAS/Hadoop etc 2)They are spending less amount of time on Mathematics and Statistics(Mostly 10 hrs...

Linear Regression and its types
Linear Regression A Linear regression is a Regression Analysis technique which is used for modeling the predictions on the continuous data. A Linear Regression can be modelled using 1. A Simple Regression...

Recommended Articles

Information technology consultancy or Information technology consulting is a specialized field in which one can set their focus on providing advisory services to business firms on finding ways to use innovations in information technology to further their business and meet the objectives of the business. Not only does...

Read full article >

Almost all of us, inside the pocket, bag or on the table have a mobile phone, out of which 90% of us have a smartphone. The technology is advancing rapidly. When it comes to mobile phones, people today want much more than just making phone calls and playing games on the go. People now want instant access to all their business...

Read full article >

Whether it was the Internet Era of 90s or the Big Data Era of today, Information Technology (IT) has given birth to several lucrative career options for many. Though there will not be a “significant" increase in demand for IT professionals in 2014 as compared to 2013, a “steady” demand for IT professionals is rest assured...

Read full article >

Applications engineering is a hot trend in the current IT market.  An applications engineer is responsible for designing and application of technology products relating to various aspects of computing. To accomplish this, he/she has to work collaboratively with the company’s manufacturing, marketing, sales, and customer...

Read full article >

Looking for Data Science Classes?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you