This plan includes
- Limitedfree coursesaccess
- Play & PauseCourse Videos
- VideoRecorded Lectures
- Learn onMobile/PC/Tablet
- Quizzes andReal Projects
- Lifetime CourseCertificate
- Email & ChatSupport
What you'll learn?
- Python (installation and environment description)
- Gathering the data into both platforms (data from Excel and CSV)
- Data wrangling (preparation and transformation) I - Table, row transform, row filter, and split
- Data wrangling (preparation and transformation) II - Column binning, column convert and replace, column filter, column split, column transform
- Data wrangling (preparation and transformation) III - Other data types – date and time
- Data exploration: Visualisation by creating a histogram, line plot, pie chart, scatter plot, box plot
Course Overview
In this course, we will focus on the most time-consuming part of the machine learning process which is the data exploration consisting of data visualization and data wrangling serving for preparing and understanding your data. The whole course is full of different hands-on exercises in two popular data analytics platforms:
- Open-source and very progressive programming language Python
- The most popular MS Excel
where we will read the data, transform them, and visualize them.
What will you learn in this course?
- Python (installation and environment description)
- Gathering the data into both platforms (data from Excel and CSV)
- Data exploration: Data wrangling (preparation and transformation) I - Table, row transform, row filter, and split
- Data exploration: Data wrangling (preparation and transformation) II - Column binning, column convert and replace, column filter, column split, column transform
- Data exploration: Data wrangling (preparation and transformation) III - Other data types – date and time
- Data exploration: Visualisation by creating a histogram, line plot, pie chart, scatter plot, box plot
Pre-requisites
- Installed Python on your PC/Mac (e.g. Ananconda distribution)
- Microsoft Excel available on your PC/Mac.
Target Audience
- Everybody interested in new data trends and technologies
Curriculum 44 Lectures 02:34:26
Section 1 : Welcome to our course
- Lecture 2 :
- Software description
- Lecture 3 :
- Anaconda installation (Python environment)
Section 2 : Acquire data
- Lecture 1 :
- EXCEL - Acquire data into Excel
- Lecture 2 :
- PYTHON - Acquire data into Python
- Lecture 3 :
- Acquire data I
- Lecture 4 :
- Acquire data II
- Lecture 5 :
- Acquire data III
- Lecture 6 :
- Acquire data IV
- Lecture 7 :
- Acquire data V
Section 3 : Data manipulation I - tables
- Lecture 1 :
- EXCEL - merging data
- Lecture 2 :
- EXCEL - transpose table
- Lecture 3 :
- PYTHON - merging data
- Lecture 4 :
- PYTHON - transpose table
Section 4 : Data manipulation II - rows
- Lecture 1 :
- EXCEL - filters
- Lecture 2 :
- EXCEL - group and sort
- Lecture 3 :
- PYTHON - group and sort
- Lecture 4 :
- PYTHON - filters
Section 5 : Data manipulation III - Columns
- Lecture 1 :
- EXCEL - binning
- Lecture 2 :
- EXCEL - conv I
- Lecture 3 :
- EXCEL - conv II
- Lecture 4 :
- EXCEL - column filter, splitter
- Lecture 5 :
- EXCEL - missing values
- Lecture 6 :
- PYHTON - binning
- Lecture 7 :
- PYTHON - conv I
- Lecture 8 :
- PYTHON - conv II
- Lecture 9 :
- PYTHON - column filter, splitter
- Lecture 10 :
- PYTHON - missing values
Section 6 : Data manipulation IV - Date data types
- Lecture 1 :
- EXCEL - Date
- Lecture 2 :
- PYTHON - Date
Section 7 : Data visualization
- Lecture 1 :
- Introduction
- Lecture 2 :
- EXCEL - column chart
- Lecture 3 :
- EXCEL - line plot
- Lecture 4 :
- EXCEL - pie chart
- Lecture 5 :
- EXCEL - scatter plot
- Lecture 6 :
- EXCEL - box plot
- Lecture 7 :
- PYTHON - column chart
- Lecture 8 :
- PYTHON - line plot
- Lecture 9 :
- PYTHON - pie chart
- Lecture 10 :
- PYTHON - scatter plot
- Lecture 11 :
- PYTHON - box plot
Section 8 : Conclusion
- Lecture 1 :
- Conclusion
- Lecture 2 :
- Bonus I
- Lecture 3 :
- Bonus II
Our learners work at
Frequently Asked Questions
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It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.How do i contact the instructor for any doubts or questions?
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