Python for Data Analysis
Short course
In Jersey Guernsey (UK Offshore Dependencies)
Learn to code and execute simple data analysis programs in Python!
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Type
Short course
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Level
Intermediate
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Location
Jersey guernsey (UK Offshore Dependencies)
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Duration
2 Days
Immerse yourself in the Python world with this Python for Data Analysis, offered by PCWorkshops, that Emagister has added to its educational catalogue.
In this course, Python packages that are commonly used for data analysis are covered. These packages include handling CSV files, Numpy (‘Numerical Python'), SciPy (used for scientific and technical computing ) and Pandas (data analysis library) .
You would learn to code and execute simple data analysis programs in Python. Learn to use powerful extensions available in Python. 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 a few of the most commonly used Python modules, used by data scientists.
Throughout five different sessions you’ll learn a variety of subjects, including basic terminology as modules, how to use it for data analysis, writing CSV files, what is Panda, and much more. Everything will get more sense once you start getting in touch with the data analysis world.
So, if you want more information about this programme contact PCWorkshops through Emagister without hesitation. You won’t regret it!
Facilities
Location
Start date
Start date
About this course
Learn to transform, slice, analyze large data sets using Python data function libraries.
Python and data users, analysts, scientist, business analysts.
Bring your own device. Basic Python required.
PCWorkshops Certificate.
Experienced tutors, small groups, practical, real life examples, accessible central London location.
You could simply book online or contact us to discuss dates and make off-line bookings.
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 7 years
Subjects
- Computing
- Data Mining
- Database
- Data analysis
- Data Collection
- Programming
- Python
- Data Analytics
- NumPy
- Data trends
- SciPy
- Datasets
- Indexing
- Iteration
- Functions
- Coding
Teachers and trainers (2)
Mary Smith
Tutor
How Mary Smith teaches: I am consultative, flexible and understanding. I appreciate the trust given to me. What Mary Smith teaches: Databases, MS SQL Server, Oracle 11g, MySQL, Access Database, Excel, MS Power BI, Tableau, SSRS, MS SQL Server Report Builder. Java Coding Basics.
Sarah Barnard
Coder, Instructor
Java Coding, Beginner - Advanced, JDBA, Hibernate, Spring. OO Programming. Android Studio. Excel VBA. Cobol. Databases, MS SQL Server, Oracle 11g, MySQL, Access Database, Excel, MS Power BI, Tableau, SSRS, MS SQL Server Report Builder.
Course programme
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.
Session 1
What are 'modules' and how can they be useful for data analysis tasks
Reading and writing CSV files in to a Python program. Json Files, Dtabase.
Identifying and fixing errors in datasets.
Session 2
Pandas: Indexing, Iteration, Functions, aggregation, merge/join. Comparison with SQL.
Session 3
The Python NumPy Module: Working with arrays, array manipulation, string, math, arithmetic and statistical functions.
Session 4
Introduction and over view of SciPy.
Session 5
The Matplotlib Lbrary
Python for Data Analysis