New Course! Data Preprocessing with NumPy
Hello, my title is Viktor – a Hamilton Faculty graduate with a double diploma in Arithmetic and Economics, and a course creator at 365 Information Science – and I’m delighted to announce the most recent addition to our Program: The Data Preprocessing with NumPy Course!
On this transient publish, I’ll stroll you thru the course options, its construction, and the sensible skillset it is going to provide help to develop. Ultimately, I’ll share a bit extra about myself and the tasks I’ve labored on right here, at 365 Data Science.
The 365 Information Science Information Preprocessing with NumPy Course
The concept behind this hands-on course is to information you thru one in every of Python’s hottest packages – NumPy. I’ll clarify why it’s so necessary and provide help to discover the varied purposes of the ndarray class in apply.
I did my finest to ensure that by the point you full the course, you’ll be assured working with arrays. You’ll additionally learn to manipulate their dimensionality, in addition to the way to rapidly seek advice from the documentation when unsure. Moreover, you’ll be able to reap the benefits of NumPy’s numerous built-in capabilities and strategies to create your personal datasets with random knowledge.
I may even educate you the way to use the statistical capabilities of NumPy to investigate your knowledge, in addition to its preprocessing ones, via filling lacking values, shuffling, sorting, and stacking. And, lastly, I’ve included a full sensible instance with a real-world dataset, so you may apply every thing you’ve realized.
Who Is This Course for?
The Information Preprocessing with NumPy course is an ideal match not just for freshmen however for all of you who wish to take their Python programming abilities to the subsequent degree.
What Is the Construction of the Course?
The course contains 51 lectures, 10 workouts, 2 quizzes, and 26 downloadables. When you’d wish to discover all matters within the course curriculum, yow will discover them on the Data Preprocessing with NumPy course page.
What Will You Study?
The course will provide help to develop a myriad of abilities essential to take advantage of NumPy in your apply.
You’ll learn to:
- Set up and improve NumPy
- Take advantage of the NumPy documentation
- Manipulate ndarrays
- Apply typical, stepwise, and conditional slicing to arrays
- Create your personal datasets by producing arrays of random and quasi-random knowledge
- Entry and modify your file system via NumPy and work with npy and npz information
- Make statistical computations with NumPy – minimal and maximal values, averages, covariances, correlations, histograms
- Clear and preprocess knowledge – discover and fill lacking values, reshape an array, take away corrupted knowledge, shuffle and type
- Slice and cube your knowledge via stripping, stacking, and concatenating
Concerning the Creator
As I discussed, I maintain a double diploma in Arithmetic and Economics from Hamilton Faculty, New York.
My analytics background stems from my Statistics, Econometrics, Monetary Time-Collection Econometrics, and Habits Economics schooling.
By way of coding, my expertise consists of working with C, C++, and Python, in addition to MATLAB and STATA. When you’re curious to study my expertise and tasks, you can find more details in this interview.
The Information Preprocessing with NumPy course is a part of the 365 Information Science Program, so present subscribers can entry the programs at no additional value.
To be taught extra in regards to the 365 Information Science Program curriculum or enroll within the 365 Information Science Program, please go to our courses page.
Wish to discover the curriculum or join 15 hours of newbie to superior video content material without cost? Click on on the button beneath.