AllWomen
Data Analytics
In 12 weeks, you'll know how to effectively manage and use data. Data analytics is part of our Data Science Course; you can learn how to use machine learning algorithms.
Remember it's important you research your options before selecting a course. Late payments may result in fees and could negatively impact your credit file.
What will you
Here's what AllWomen say about their course...
Programming with Python 1
It consists of Functional Programming, Object-Oriented Programming.
Exploratory Data Analysis (EDA)
You will learn Descriptive statistics , Univariate analysis , and Bivariate Analysis.
Feature Engineering
It is about Data Cleaning , Data Transformations , and Remove Outliers.
Programming with Python 2
Deal with Pandas library.
SQL: concepts
Learn Introduction to databases and SQL language , Retrieve information from databases using SQL language , SQL basics .
SQL: hands-on practice
It includes Querying with SQL, and Querying with Python.
Unsupervised Machine Learning algorithms
You learn Visualization and interpretation of the outcomes from those algorithms.
What do I get?
What do I need?
Knoma’s Take
If you think a women-only (and non-binary inclusive) learning environment for the tech industry is right for you, take a look at AllWomen. We love their mission to create a safe empowering environment focused on kick-starting careers. Their courses are designed to accommodate a wide range of sche...
CTO Knoma
Download the syllabus to see what you could learn on this Data Science course from AllWomen, and find out more about how their programme works.
Download the Syllabus
CAREER CHANGER | 2020 - 2021
Now
Software Developer
Previously
Chef
What does the course cost?
Repayment period (months)
Learn for 12 payments of
/ month
Pay 0% interest
You deserve to progress in a career you love. But learning the skills you need can be expensive. We don’t think that’s fair, so we’re doing something about it.
We partner with industry-leading schools and bootcamps so that you can enrol on your chosen course without paying upfront.
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