Data science is the field of study that uses scientific methods and algorithms to interpret data and get insight to provide business solutions. Many Successful businesses today are driven by data, they make decisions based on historical/current data gotten from customers or external sources from competitors. You may have wondered why you hear “data is the future of technology”, well, Business Intelligence, Machine Learning, Deep Learning, and a lot more are driven by data. So, it comes as no surprise that the demand for Data Scientists has been surging in the job marketplace. However, the supply has been very limited.
This comprehensive and project-based course will, therefore, introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real-world projects to add to your portfolio. In this course, you will be equipped to start your career in Data Science as you will be learning state of the art modern technologies needed in this field. You will also be equipped with problem-solving skills for solving real-world business data problems. With the skills acquired from this course, you can start a career as a Data Scientist, Business Intelligence (BI) Developer, Data Architect, Data Analyst, Data Engineer, and Statistician.
The course is open to both beginners and intermediate trainees who want to become a Data Scientist, learn about the field or improve their skill. No previous knowledge or experience is required. All you need is a Mac or Windows PC with access to the internet, basic secondary school maths knowledge, and willingness to learn.
During this course,
You will learn:
- Data architecture
- Data exploration and visualisation
- A Programming language (Python)
- Statistics needed in data science
- Linear and logistic regressions in Python
- Applying your skills to real-life business cases
- Data pre-processing.
At the end of this course,
You will be able to:
- Structure data (Data Architecture)
- Explore and visualise data
- Apply Python to data science
- Apply the statistics needed in data science
- Perform linear and logistic regressions in Python
- Apply your skills to real-life business cases
- Learn how to pre-process data.
Course Fee: ₦350,000
Duration: 4 weeks
Early Bird discount: 20%, expires by 20th December 2021
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