In this Python training course, you again revise the basics of Python programming. However, we focus on data analytics , and move on beyond the basics. We cover popular libraries designed for Python Data Analytics, like numPy, Pandas, sciPy and Matplotlib. These libraries are commnly used by data professionals to begin analyse data using Python and to answer key business questions.
Python is excellent for working with large datasets.
The course is all about Numpy, SciPy, Matplotlib and Pandas.
This course consentrates on using libraries and library functions that deals with data.
At the end of this course you would be able to open, read, traverse and manipulate large data sets.
2 Consecutive Days, the first of which shows as the booking date.
This Python Data Course course is hands-on, practical.
Max 4 people, so we have time for personalised attention.
Reading and writing CSV and txt files.
Identifying and fixing errors in datasets.
Dataframes, Indexing, Iteration, Functions, Group by and aggregation, merge/join. Comparison with SQL.
Python data analysis with Python Pandas
Get to know the all about The Python NumPy Module.
Working with arrays, array manipulation, string, math, arithmetic and statistical functions.
Introduction and overview of SciPy.
Plotting data trends on a variety of charts and graphs using Python MatPlotLib.
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