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Are you trying to start in data science and confused where to begin? Then this thread is for you. Here are 6 steps to mastering data science. Kindly share and retweet 1. #beginner #datascience #python #machinelearning
2. Data science and data analysis are best learned by doing. Starting on a project no matter how small it is, will help you hone your skills. Data is used in all fields so pick one that you find interesting and start crafting your project
3. If you do not have a programming background or do not know how to code. Learning Python or R for data analysis is important. @coursera offers a great course here: https://www.coursera.org/learn/data-analysis-with-python
4. Data science is particularly useful in the fact that you are applying machine learning models to datasets to draw insights. This article highlights ML models and when to use them for your project: https://towardsdatascience.com/do-you-know-how-to-choose-the-right-machine-learning-algorithm-among-7-different-types-295d0b0c7f60
5. Data visualization is an essential component of data science as you will need to communicate data to your audience. Tools like @tableau, python, and PowerBI come in handy.
6. Presentation and communication skills. Along with data visualization, learning how to communicate the insight from your data is key. Your end goal is to persuade business stakeholders through data. This article touches on how to do so effectively: https://data36.com/presentation-tips-for-data-professionals/
Finally, follow us on twitter @dotundata for more content and check out our website on getting started in data science for more resources: https://www.dotunopasina.com/getting-started
So what kind of project would you start? Leave your comments below cc @olufemiloye @dclassovercomer #datascience #learning #analytics #beginner #predictiveanalytics
