4.21 (188 reviews)
☑ NumPy For Data Analysis
☑ NumPy For Data Science
☑ Numerical Computation Using Python
☑ How To Work With Nd-arrays
☑ How To Perform Matrix Computation
Hi, welcome to the 'NumPy For Data Science & Machine Learning' course. This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations. We know that the matrix and arrays play an important role in numerical computation and data analysis. Pandas and other ML or AI tools need tabular or array-like data to work efficiently, so using NumPy in Pandas and ML packages can reduce the time and improve the performance of the data computation. NumPy based arrays are 10 to 100 times (even more than 100 times) faster than the Python Lists, hence if you are planning to work as a Data Analyst or Data Scientist or Big Data Engineer with Python, then you must be familiar with the NumPy as it offers a more convenient way to work with Matrix-like objects like Nd-arrays. And also we’re going to do a demo where we prove that using a Numpy vectorized operation is faster than normal Python lists.
So if you want to learn about the fastest python-based numerical multidimensional data processing framework, which is the foundation for many data science packages like pandas for data analysis, sklearn, scikit-learn for the machine learning algorithm, you are at the right place and right track. The course contents are listed in the "Course content" section of the course, please go through it.
I wish you all the very best and good luck with your future endeavors. Looking forward to seeing you inside the course.
Towards your success:
Introduction - Installation and Setup
What Is NumPy
How To Install And Setup NumPy & Pandas
How To Work With The Jupyter Notebook
Creating An Ndarrays
Pseudorandom Number Generation
Indexing In NumPy
Indexing And Slicing
File Handling In NumPy
How To Save And Load In Numpy
Numerical Computation in NumPy
Mathematical & Statistical Methods
Universal Functions In Numpy
Conditional Logics In Numpy
Boolean Arrays & Sorting In NumPy
Methods Applied To Boolean Arrays
Sorting In Numpy
overall it was good. the audio wasn't very clear, some assignments, quiz along with these would have been even better.. but thanks to the instructor.. it was good to learn from him..
saya sangat terbantu sekali dengan mengikuti kursus ini dan pasti days banyak mendapatkan pengetahuan dan pengalaman dalam dunia teknologi informatikan dan basis data seperti numpy thanks
The course is well paced, but the sound quality is awful (with speakers and with headset). Sometimes I can't make out what he's saying.