Start a Career with us
Register for a course today
Data Analytics
A data analyst professional is an expert who leverages data analysis techniques and tools to derive insights and draw conclusions from large datasets. They have a strong understanding of statistical analysis, data modeling, and data visualization, allowing them to extract meaningful information from complex data sources.
Data analysts are skilled in collecting, cleaning, and organizing data to ensure its accuracy and reliability. This helps businesses and organizations make informed decisions, identify opportunities for improvement, and optimize their operations.
These professionals are proficient in using programming languages like Python or R, as well as data analytics tools and software. They are responsible for transforming raw data into valuable insights that help organizations gain a competitive edge, improve performance, and achieve their goals.
They play a crucial role in translating complex data into understandable and actionable information that drives strategic decision-making and supports business growth.
Career Opportunities
- Risk Analyst
- Financial Analyst
- Business Analyst
- Marketing Analyst
- Corporate Strategy Analyst
- Data Visualization Engineer
- Consultant
What you will Learn
In this program, we provide comprehensive training in data analysis techniques and tools that will enable you to derive meaningful insights from data.
Our Data Analytics course covers the following key points:
1. Introduction to Data Analysis
Our course starts with a strong emphasis on Python programming, a widely-used language in the data science community. You’ll learn the essentials of Python, including data types, variables, loops, functions, and object-oriented programming, providing you with a solid foundation for data manipulation and analysis.
2. Data Analysis with Excel
Excel is a widely-used tool for data analysis, and our course covers its advanced features and functions. You’ll learn how to manipulate and transform data, perform calculations, create visualizations, and apply statistical techniques using Excel. This knowledge will help you uncover patterns and trends hidden within datasets.
3. Mastering Data with Tableau
Tableau is a powerful data visualization tool that allows you to create interactive and visually appealing dashboards. In our course, you’ll master the art of data visualization with Tableau. You’ll learn how to create insightful visualizations, build interactive dashboards, and effectively communicate your findings to stakeholders.
4. Capstone Project (Data Analysis and Visualization)
As part of our course, you’ll undertake a capstone project that combines data analysis and visualization. This project will challenge you to apply your skills to a real-world dataset, analyze it using appropriate techniques, and present your findings through compelling visualizations.
5. SQL Essentials
Understanding Structured Query Language (SQL) is essential for data analysis, as it enables you to extract and manipulate data from databases. Our course covers the essential SQL concepts and queries, allowing you to access and analyze data stored in relational databases efficiently.
6. Data Analytics with Power BI
From Zero to Hero: Power BI is a powerful business intelligence tool that facilitates data analysis and reporting. In our course, you’ll learn how to leverage Power BI to connect to various data sources, transform and model data, create interactive visualizations, and share insights with others.
7. Career Series
We understand the importance of preparing you for a successful career in data analysis. Our course includes a dedicated career series that covers topics such as resume building, interview preparation, and job search strategies. We aim to equip you with the necessary skills and knowledge to excel in the data analysis field.
8. Code Reviews
As part of our commitment to your growth, our course incorporates code reviews. This allows you to receive constructive feedback on your coding practices, ensuring that you develop efficient and maintainable code for data analysis tasks
9. Personalized Mentorship
We believe in providing personalized mentorship to support your learning journey. Throughout the course, you’ll have access to experienced mentors who will provide guidance, address your queries, and offer valuable insights based on their industry experience.
Join our Data Analytics course and embark on a rewarding journey of exploring, analyzing, and visualizing data.
Requirements
- Have a keen interest in your chosen track.
- Have access to a laptop or desktop to attend all meetings, classes and personal practice.
- Have access to a suitable internet connection
- Be between the ages of 18-25.
- Be a Nigerian, living in Lagos, Nigeria.
- Be available to attend the opening and closing ceremony for this program
Are you
Ready?
FAQs
Our Girls Can Code training program is specifically designed for women who are interested in improving their technology and are eager to develop their skills and knowledge in these focus areas:
- Data Science
- Data Analytics
- Web Development (Frontend/Backend)
From a beginner looking to kick-start her tech journey to an experienced professional seeking to upskill herself, our program offers valuable learning opportunities for women at all levels.
We welcome participants from diverse educational and professional backgrounds, and no prior technical experience is required for our tracks. We aim to provide a stepping stone into a career in technology where women from various backgrounds can thrive.
The duration of our tech training program varies depending on the specific track you choose. Our programs are comprehensive courses spanning several months. Each track is carefully structured to ensure you receive a well-rounded learning experience.
This program is completely FREE.
The skills you will learn in the program vary depending on the program track you choose. These include:
- Data science: data collection, cleaning, analysis, and interpretation
- Data analytics: statistical and machine learning techniques
- Frontend web development: HTML, CSS, and JavaScript
- Backend web development: Python, Java, and PHP
There are many career opportunities available to graduates of the program across diverse industries. Some of the jobs you may be qualified for include:
- Data scientist
- Data analyst
- Frontend web developer
- Backend web developer
- Software engineer
- Technical product manager
You can apply for the program here.
Partners & Sponsors
