I aim to complete Step 2 of the Data Scientist in Python path (or at least 80% of it) by the end of March. So far I have completed Intro to Numpy and Regular Expression Basics so I’ll try to aim for 1 lesson per day. To do this I will probably need an average of 1h per day on DQ (based on my estimations)-for both doing the exercises and my reflection on Linkedin.
This is a great challenge. I am into Data Scientist in Python path. For this challenge I am aiming to complete step 2- Data Analysis and Visualization of the path. As I have already completed the course 1 and 2 out of 6 courses in step 2.
I will spend 1 hour daily for this.
This is great. I actually started the #66daysofdata challenge from Ken Jee on March 1st, but I will do this as well because more accountability can’t hurt.
I am working on a few projects right now but I plan on spending two hours each day on a data skill or project. I am on the Data Analyst Path on DQ and I want to reinforce my learning on visualizations by improving past projects.
This sounds like a really cool idea!
Over the next 30 days, I am going to spend at least 4 hrs every morning continuing to work through Step 2 of the Data Analyst in Python Path. I plan on learning the Pandas and NumPy Fundamentals.
I will also go back and keep working through the first guided project. Something came up and I never got around to finishing it, so I feel like it would be good to also get that completed too!
I’ve slowed down since the holidays and now is the perfect moment to go back to my December rhythm. Here’s what I’ll do:
At least 1 hour of Dataquest per day, including weekends
Finish Step 4 (I’m in the last course of Step 2 now)
I’ll do my best to complete 50% of Step 5, since I already have some knowledge in Probability and Statistics. I cannot fully commit now because of College, I still got a lot to do until March 19th, after it I’ll have more time.
That’s a fantastic and very encouraging idea, Nityesh! My plan for the next 30 days (well, already less than that ) is to finish Course 2 of Step 5 of Data Analysis Path. I’ve just started this course. Usually, I learn the missions quite fast, but guided projects take really much time in my case So, I’ll try to be less perfectionist this month!
This is a great idea @nityesh. I can’t tell you how many times I have start and stop in the past. Each time having to start over because I can’t remember what I previously learned. This is a good way to build a new habit.
I plan to commit to 1 hour a day for the next 30 days.
My goal is to complete Python for Data Science Fundamentals in the Data Analyst in Python path.