This course is an excellent choice for beginners, working professionals looking to expand their knowledge on Data Science and learn most popular Python libraries such as collections, numpy, matplotlib, seaborn and pandas data frames.
If you are working with Microsoft Excel, Google sheets or any other tabular data such as database tables, csv files and eager to take your Data Analysis skills to next level in your career, then this course is for you!
NumPy is a powerful library which efficiently performs matrix operations faster and exceed the python capabilities of data processing.
Pandas allows you to anything and everything with tabular or column data sets such as analyzing, organizing, sorting, filtering, aggregating, cleaning, calculating and more!
Matplotlib is a visualization library in Python for 2D plots of arrays. Matplotlib is a multi platform data visualization library built on Numpy arrays. Matplotlib consists of several plots like line, bar, scatter, histogram, etc.
Seaborn is a library for making statistical graphs in Python which is built on top of Matplotlib and closely integrated with pandas data structures.
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