What you will Learn in this Workshop?
Throughout the course, you will learn about essential topics such as data acquisition, data cleaning and preprocessing, exploratory data analysis, statistical analysis, and predictive modeling. You will also gain hands-on experience using popular programming languages and tools like Python, R, and SQL to manipulate and analyze real-world datasets.
- Introduction to Data Science: Understand the role of data science in various industries and its impact on decision-making processes.
- Data Acquisition and Cleaning: Learn how to collect and clean data from various sources to ensure accuracy and reliability.
- Exploratory Data Analysis: Explore data visually and statistically to gain insights, identify patterns, and detect anomalies.
- Statistical Analysis: Apply statistical methods to analyze data and draw meaningful conclusions.
- Predictive Modeling: Build predictive models using machine learning algorithms to make data-driven predictions and recommendations.
- Data Visualization: Create compelling visualizations to effectively communicate insights and findings.
This course from Academic Affairs is a Game-changer for building solid data science foundation.