
One of the best ways to break in is with a job title pivot, but if you're not already in an analytical or developer role it can be hard to grasp all the things you need to land the job.
#DSBThreads
My first tip is to let go of your fear of failure. Beyonce said one of the reasons we fail is because we're afraid to look stupid while we're still learning.
Understand that it's a learning process and you won't grasp each concept right away.
My first tip is to let go of your fear of failure. Beyonce said one of the reasons we fail is because we're afraid to look stupid while we're still learning.
Understand that it's a learning process and you won't grasp each concept right away.
That being said, the first thing I suggest people do (especially if you have no prior experience) is become comfortable extracting meaning from groups of data aka data literacy. It's crucial to know the language of data. https://thedataliteracyproject.org/learn
Next you can spend time working on your statistics and probability skills. These are foundational, but you don't have to be intimidated. This free course sets up a lot of the groundwork nearly all Data Science and Machine Learning work is built on. https://www.udacity.com/course/intro-to-descriptive-statistics--ud827
While many folks focus on learning the linear algebra and calculus as part of the math required, I think newbies should really spend their time on gripping the reasons why businesses invest in Data Science. It's not always for the reasons you'd think.
https://book.akij.net/eBooks/2018/May/5aef50939a868/Data_Science_for_Bus.pdf
https://book.akij.net/eBooks/2018/May/5aef50939a868/Data_Science_for_Bus.pdf
Next it's good to dive deep into these business motivations and start questioning automated system through an ethical lens. This is a great free course on AI ethics that helps set foundations for newbies.
https://www.ethicsx.ai/a-free-online-course-elements-of-ai/
https://www.ethicsx.ai/a-free-online-course-elements-of-ai/
It's time to learn how you can leverage code to create automated system that do cool things like identify dangerous weapons or predict things like online sales.
This is by far my fave Python Course and while it doesn't cover DS, it'll help you practice
https://www.udemy.com/course/the-complete-python-course
This is by far my fave Python Course and while it doesn't cover DS, it'll help you practice

Looking for a deep dive into Data Science? This is a LONG course that will take you from zero prior knowledge to having the ability to create your own data models and it even covers subjects in natural language process and learning the
R language. https://www.udemy.com/course/learn-data-science-deep-learning-machine-learning-nlp-r/
R language. https://www.udemy.com/course/learn-data-science-deep-learning-machine-learning-nlp-r/
For more personal support you can sign up for Data Science Group Coaching and get personalized activities in four tracks (Data Analytics, Data Science, ML Engineering, and AI Ethics) for $29/mo. https://coaching.ayodeleodubela.com/
I've also written Getting Started in Data Science to help newbies feel comfortable with the kinds of problems they'll encounter in industry. Learn from my mistakes and save yourself some headaches! #DSBThreads https://gumroad.com/l/getting-started-in-data-science