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Advanced Techniques for Exploring Data Sets with Pandas

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140 STUDENTS

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365 Days
Advanced
Course Certificate
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ACCREDITED BY CPD & iAP
02Guided Learning Hours
Course Material
04 Number of Modules
Exam Included

Overview

Pandas is a popular Python library that is used for data analysis and data manipulation purposes. It makes working with data very easy and intuitive as it provides fast, flexible and expressive data frames for data analysis purposes with Python. Having a good grip on the advanced aspects of this library will prove worthwhile in your data science career, which is why we have developed this course to educate you on everything you need to know on Pandas to enhance your data analysis activities using it.

This course will start off by exploring how to read data from CSV based datasets, excel datasets and other kinds of datasets into pandas. You will then be guided on the techniques and methods that are used to select a subset of data in pandas, along with an insight into the various methods and techniques that can be used to sort and filter the imported data. You will also get to learn on how to use the “axis” parameter, multiple filter criteria and the string methods on pandas’ data.

This course will then enlighten you on how to manipulate, transform and reshape data that is read into pandas data frame as per your requirements using various methods and techniques. You will also be tutored on how to effectively visualize data by getting started with plots, control plot aesthetics, plot colour palettes and seaborn. By the end of this course, you will have an outstanding knowledge on the pandas library to excel in your data analysis and manipulation activities.

Why study at Global Edulink?

Global Edulink offers the most convenient path to gain recognised skills and training that will give you the opportunity to put into practice your knowledge and expertise in an IT or corporate environment. You can study at your own pace at Global Edulink and you will be provided with all the necessary material, tutorials, qualified course instructor, narrated e-learning modules and free resources which include Free CV writing pack, free career support and course demo to make your learning experience more enriching and rewarding.

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

This course is aimed at individuals interested in mastering the advanced aspects of Pandas library for data analysis purposes

Learners must be age 16 or over and should have basic understanding of the English Language, numeracy, literacy and ICT.
A prior experience in Python programming will be advantageous

The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.

Those who pass this test will get a certificate in Advanced Techniques For Exploring Data Sets with Pandas

This certificate will enhance your qualifications for a number of jobs in data science. You can also use this certificate to prove your eligibility for the job promotion or salary increment put forth by your employer. Listed below are some of the jobs this certificate will benefit you in, along with the average UK salary per annum according to https://www.payscale.com/career-path-planner,

Data analyst – £25,972 per annum
Data scientist – £35,226 per annum
Applications Architect – £59,869 per annum
Statistician – £31,231 per annum
Data Scientist – £35,226 per annum

High-quality e-learning study materials and mock exams.
Tutorials/materials from the industry leading experts.
24/7 Access to the Learning Portal.
The benefit of applying for TOTUM extra Discount Card.
Recognised Accredited Qualification.
Excellent customer service and administrative support

Key Features

Gain an Accredited UK Qualification

Access to Excellent Quality Study Materials

Learners will be Eligible for TOTUM Discount Card

Personalised Learning Experience

UK Register of Learning Providers Reg No : 10053842

Support by Phone, Live Chat, and Email

Course Curriculum

Getting Started
	Online Training User Manual	00:00:00
	E Certificate Download Guide	00:00:00
Section 1: Working With Different Kinds of Datasets
	1.1. The Course Overview	00:00:00
	1.2. Using Advanced Options While Reading Data from CSV Files	00:00:00
	1.3. Reading Data from Excel Files	00:00:00
	1.4. Reading Data from Some Other Popular Formats	00:00:00
Section 2: Data Selection
	2.1. Using Pandas Series Data Structure to Select a Subset of the Data	00:00:00
	2.2. Selecting Multiple Rows and Columns from a Pandas DataFrame	00:00:00
	2.3. Sorting a Pandas DataFrame or a Series	00:00:00
	2.4. Filtering Rows of a Pandas DataFrame by Column Value	00:00:00
	2.5. Applying Multiple Filter Criteria to a Pandas DataFrame	00:00:00
	2.6. Using the “axis” Parameter in Pandas	00:00:00
	2.7. Using String Methods in Pandas	00:00:00
	2.8. Changing the Data Type of a Pandas Series	00:00:00
Section 3: Manipulating, Transforming, and Reshaping Data
	3.1. Modifying a Pandas DataFrame “inplace”	00:00:00
	3.2. Using the “groupby” Method	00:00:00
	3.3. Handling Missing Values in Pandas	00:00:00
	3.4. Indexing in Pandas DataFrames	00:00:00
	3.5. Renaming Columns in a Pandas DataFrame	00:00:00
	3.6. Removing Columns from a Pandas DataFrame	00:00:00
	3.7. Working with Dates and Times Data	00:00:00
	3.8. Handling SettingWithCopyWarning	00:00:00
	3.9. Applying a Function to a Pandas Series or DataFrame	00:00:00
	3.10. Merging and Concatenating Multiple DataFrames into One	00:00:00
Section 4: Visualizing Data Like a Pro
	4.1. Controlling Plot Aesthetics	00:00:00
	4.2. Choosing the Colors for the Plots	00:00:00
	4.3. Plotting Categorical Data	00:00:00
	4.4. Plotting with Data Aware Grids	00:00:00
Mock Exam
	Mock Exam : Advanced Techniques for Exploring Data Sets with Pandas	00:40:00
Exam
	Exam : Advanced Techniques for Exploring Data Sets with Pandas	00:40:00