Data science is the practice of extracting insights and knowledge from data using techniques from statistics and computer science.
Dive into the dynamic world of data science with our comprehensive course designed for aspiring data analysts and scientists.
Foundations of Data Science: Grasp the essentials of the field, understanding its impact and applications.
Statistical Analysis: Master both descriptive and inferential statistics to interpret data effectively.
Data Management: Learn the art of data wrangling, cleaning, and preprocessing to prepare data for insightful analysis.
Machine Learning: Explore machine learning algorithms from linear regression to complex neural networks, and learn how to train, evaluate, and deploy models.
Visualization Techniques: Develop skills in data visualization to communicate findings clearly and effectively.
SPSS OR SAS
NumPy
Python and R
TenserFlow
visualization with R
SQL
RStudio
PyCharm
Predicting Credit Card Approvals
Skills Developed: Data cleaning, handling missing values, feature scaling, encoding categorical data.
Project Overview: Clean a dataset of credit card application approvals, handle missing entries, normalize the data, and encode categorical variables to prepare for machine learning modeling.
Facial Recognition System
Skills Developed: Neural networks, convolutional neural networks, image processing.
Project Overview: Create a facial recognition system that identifies and classifies individual faces from images or video feeds.