Everyone has a different journey.

To get into the #Datascience role that I am in, I wanted to share the courses I took.

Some free, some not.

Here is how I mapped my journey 🧡
1/7 Some of the skills I realized that I needed:

- Math βœ…
- Software Development βœ…
- Courses on Data Analytics and Data Science βœ…
2/7 Software: CS50 Harvard (Free)

This course was an eye opener.

I freelanced before as a web developer but felt I needed to sharpen my skills.

A great teacher makes a great course and learning experience.

edx.org/cs50
3/7 Data Analytics: Data Analyst Nanodegree by Udacity (Paid)

One of the best decisions for my career.

It was well worth the investment. I learned:

- Exploratory Analysis βœ…
- R βœ…
- Wrangling βœ…
- Data Visualization βœ…
- Statistical Analysis βœ…

udacity.com/course/data-an…
4/7 Math courses (Free)

In Data Science, some math will go a long way. The crucial topics to learn were:

- Statistics βœ…
- Linear Algebra βœ…
- Calculus βœ…

Both courses were great for a refresher and for learning new topics.

-
- khanacademy.org
5/7 Data Scientist Nanodegree πŸš€

After the DAND, I wanted to learn Data Science.

I took the Data Scientist Nanodegree course.

This was challenging, but well worth it.

It covered:

- ML Algorithms βœ…
- Natural Language Processing βœ…
- Deep Learning βœ…

udacity.com/course/data-sc…
6/7 A recap of the courses:

- CS50
- Data Analyst Nanodegree
- Khan Academy, youtube (3blue1brown)
- Data Scientist Nanodegree
7/7 I hope you've found this thread helpful.

Follow me @michaelroker for more.

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