Kickstart your career as a Data Sciencist
Earn a Data Science certificate to accelerate your data career with high-demand skills.
What you will learn:
- Basics of Statistics and Probability
- Tools and Data Management
- Statistics and Exploratory Data Analysis
- Fundamentals of Machine Learning
Capstone Project for all courses
You will be required to create a design concept and prototypes for numerous products. A long time project that will be guided by the tutor to not only assist in your growth but to help you create a portfolio for yourself.
Early Bird Fee- N250,000
Early Bird | N90,000 | 05 Days Left |
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Class | Price | Duration |
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Onsite/Online Live Class | N135,000 | 6WKs(Weekends/Weekdays) |
- Onsite/Online Live Class
N300, 000
12WKs (Weekends/Weekdays)
Course Content
Python Basics
Python Basics
Intermediate Python
Relational Databases
SQL
Data Extraction
Data Cleaning
Statistical Distributions
Sampling
Hypothesis Testing
Lists, Dictionaries, Looping, Functions
Git/Github
Data Analysis & Visualization (Numpy)
Data Analysis & Visualization (Pandas)
Accessing Data through APIs
Linear Regression
Logistics Regression, Step-wise Regression, Non-linear Regression
Classification
Dimensionality Reduction
Naive Bayes
K-Means
Text Mining
Clustering
Grid Search
Decision Trees
Time Series Analysis
Linear Optimization
Required Tools
Learn the skills you need to become a data scientist
In the course, learn the foundations of data science and perform an end-to-end statistical analysis, learn to make data-driven predictions, and present results in a data visualization.
Pay As You Learn
Focus on gaining practical skills and worry less about your payments.
Passionate about a course?
We know how much you yearn to learn and advance to the next level of what the future holds for you. We have provided you with resources that makes persuading either your boss of relative easier. Take charge of your future now!
Creative and Collaborative Learning
Experience engaging and interactive sessions. At Torilo Academy training center, we leverage both group and individual sessions to ensure that our students practise working in teams and independently to build usable solutions.