python with data science

Python With Data Science

Data Science is one of the Top most demanded roles all over the world today, it involves the analytical aspects of data, visualization, prediction and more. This course will equip you with all the necessary skills to build a successful career in the field.




Learn coding in Python, targeting data science


Use this package for extral mathmatical computations


Do complex and tweakable data analysis on datasets


Use charts in Matplotlib to do data visualization


Use charts available in Seaborn to data visualization


Create interractive charts to visualize data with Plotly

Scikit Learn

Learn and apply machine learning algorithms for prediction


Explore a comprehensive statistical data analysis

Course Description

Today’s technology has made it possible and more efficient than ever for businesses and organizations to acquire data on a large scale. This real-time practice class will teach you how to manipulate large, unstructured sets of data to gain insights and make data-driven decisions.
Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Analytic applications and data scientists can then review the results to uncover patterns and enable business leaders to draw informed insights.

Why Choose Data Science?

There is an increasing demand for Data Scientists in Nigeria. Business and organizations now understand that, to make better decisions, they need to look at realistics from the data they have accumulated so far. From financial institutions like banks to non-governmental organizations, Data Scientist is becoming a must-have staff in such organizations.

Highlight Your The Skill You Will Gain With Our Verifiable Certificate

Upon completing the course and a building successful project, you will be awarded a certificate to showcase your new skills. Your certificate is also verifiable on our website so that potential employers can easily confirm it's authenticity.

12 weeks

3 days weekly

2hrs per day

Course content

In this course all students will gain adequate understanding of the skills and packages listed above.

The beginner section includes in-dept coding in Python but it will also start from a basic level to progress to advance concept and coding.

Learn SQL with practical examples. This section also exposes you to the kind of data structures you will be dealing with in the data science section.

This section cover complex data type and advance functions that you can apply on such data types or data sets.

This sections cover lots of data analysis concepts, operations and practices. It also covers how you can clean and organize data before apply data analysis operations.

In this section we will cover how to use different kinds of chart in Matplotlib to visualize datasets so we can read meanings in them.

This section covers more data visualization. Seaborn is similar to Matplotlib but more flexible and with more control options.

This section also covers more data visualization. We will use Plotly to create interractive chart objects.

Understand the concept of Various supervised machine learning algorithms.

Understand the concept of Various unsupervised machine learning algorithms.

Understanding the concept of NLP and it application along side Neural Network.