SKILL PATH
Become a Data Scientist
Data science deals with huge volumes of data using different tools and technologies to unearth insights from data that can impact business decisions of any organization. Data science has gained immense prominence because its analytics helps in making smart decisions in many industries like marketing, finance, healthcare, etc. As machine learning continues to grow, it has also penetrated into the field of data science. So, in this path, you'll learn the basics of data science, data manipulation, big data, how machine learning plays a role in the field of data science and data processing with scikit-learn. You'll acquire knowledge of deep learning with TensorFlow and Keras. Finally, you'll be acquainted with building scalable data and model pipelines. Overall, this path is your all-in-one guide to becoming a confident data scientist.
57 hours
287 Lessons
Learning Objectives
Learn the basics of data science.
Learn to analyze and manipulate data with pandas and NumPy.
Learn about data processing, modeling and clustering with scikit-learn.
Dive into Deep Learning with TensorFlow and Keras.
Learn different tools for building scalable model pipelines.
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.
