Data Analysis with Python, Pandas and Numpy. Webinar, Virtual Classroom.

Data Analysis with Python, Pandas and Numpy. Webinar, Virtual Classroom.

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£600

Data Analysis with Python, Pandas and Numpy. Webinar, Virtual Classroom.

About this event

Python for Data Analysis

Course summary

  • Duration:  2 Day
  • Virtual Classroom: Online , Instructor-Led, Practical
  • Laptops: Download anaconda.com

You would learn to manipulate large and varied datasets by getting hands-on, practical experience working on real-life data problems on anonymized data sets. You would gain working knowledge of the most commonly used Python modules for data scientists.

We concentrate on handling files, Numpy (‘Numerical Python'), SciPy (used for scientific and technical computing ) , Pandas (data analysis library) and Matplotlib.

The course is useful for professionals who anyone who use data as part of their work and who need to draw analysis from the data. It is best to already have an understanding of programming. We would issue pre-course work for beginners.

Course Outline: 

Session 1:  Brief Revision of Python Basics.

Session 2: Data Structures, Data and Files

  • Lists, Tuples, Sets.
  • Dictionaries, Json Files.
  • CSV files. Reading and writing Csv Files. The CSV module.
  • Txt Files. Bytes and Unicode with files.

Session 3: Numpy: The Python Numpy Module: Working with arrays, array manipulation, string, math, arithmetic and statistical functions.

Session 4: Pandas: 

  • Pandas Series, Date/ Time Functionality. Time series.
  • Pandas Data frames, Indexing, Sorting, Filter, Slicing, Iteration, Functions,
  • Aggregation.

Session 5: Data Cleaning and preparation

Random Sampling. Finding and filtering Missing data, Remove Duplicates, String objects, Regex. Replacing values. Transforming data using function and mapping, Renaming Axis Indexes, Discretization and Binning.

Session 6: Data Wrangling

Hierarchical Indexing, Reorder, Sorting, Statistics, Data frame Joins, Merging, Concatenation, Overlap. Reshaping and pivoting.

Session 7: Plotting and Visualization

Introducing to plotting data with MatPlotLib

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