SKILL PATH
Become a Data Analyst
Start your journey with Python, starting from basic computational problem-solving and eventually progressing to advanced data manipulation and visualization techniques. In this Skill Path, you'll explore object-oriented programming and master data acquisition and handling with the pandas library. You'll refine your skills by creating dynamic visualizations using seaborn, Matplotlib pyplot, and NumPy, applying them to real-world projects like building a bar chart race and forecasting sales through data-driven insights. This Skill Path equips you with the essential tools and techniques for a career in data analysis, data science, or as a data analyst, preparing you to excel in data analytics roles.
80 hours
162 Lessons
Learning Objectives
An understanding of basic coding and computational problem-solving using Python.
Mastery of data acquisition, cleaning, and data manipulation using the pandas library.
The ability to visualize data with tools like seaborn, Matplotlib, and NumPy.
The ability to apply your skills to real-world projects, including dynamic visualizations and sales forecasting.
A solid foundation for a career as a data analyst by leveraging data science techniques.
Path Content
Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.
I highly recommend Educative. The courses are well organized and easy to understand.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.
I highly recommend Educative. The courses are well organized and easy to understand.
I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.
