Data manipulation & visualisation in Python | Knime | Excel

[LeeAndro]

h264, yuv420p, 1280x720 |ENGLISH, 44100 Hz, 2 Channels | 5h 06mn | 2.66 GB

We will focus on the most -consuming part of the machine learning process which is the data exploration consisting from data visualisation and data wrangling serving for preparing and understanding your data.

Learn to pre-process and visualize data frames by using popular analytical software: Python & K & Excel
What you'll learn

Work with data frames (data wrangling | manipulation | visualisation) to prepare and understand your data

Work with K analytics platform environmnet

Undestand the Python's syntaxes and how to work in Jupyter Notebook environment

Use Pandas, Matplotlib, Seaborn API's enabling to transform data frames and create charts and plots in Python

Model and transform data

Visualise the data in charts and plots

Read data and work with more and different file types at one place

Join and merge different data

Group and pivot data by selected parameters

Modify, filter, resort, split, filter data, handle with missing values

Use basic math formulas on the columns

Use feature scaling to normalize your data under one common range

Visualise data by using different plots and charts (box plot, pie chart, scatter plot, line plot, histogram/column chart)

Transpose tables

Understand the K, Python and Excel environment

Requirements

access to computer or laptop with Windows (32bit or 64 bit), Linux (64bit) or Mac (64bit) and with permission to softwares (if not, ask your administrator to it for you - it is common at company´s computers)

no prior skills required (basic data analyzing experience in different programs is an advantage)

Description

The whole course is full of different data manipulation and visualisation hands-on exercises in three popular data science platforms:

1. open-source and very progressive programming language Python

2. open-source, highly intuitive and effective analytics platform K

3. the most popular for people working with data MS Excel,

where we we will load data, transform them and visualise them.



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