This intense 2-day course provides fundamental concepts of data analytics and teaches you how to apply data and analytics principles in your organization. You’ll learn about project lifecycles, the difference between data analytics, data science, and machine learning, building an analytics framework, and using analytics tools to draw business insights.
Learning Objectives »
- Learn to solve analytical problems.
- Work with different types of data.
- Apply data visualization.
- Make effective business decisions and improve ROI.
- Utilize charts, graphs, and tools for analytics.
- Create an analytics adoption framework.
- Identify upcoming trends in data analytics
Course Agenda
Data Analytics Overview
- Importance of Data Analytics
- Impact on Accounting
- Types of Data Analytics
- Benefits of Data Analytics
Types of Data
- Qualitative and Quantitative Data
- Data Levels of Measurement
- Normal Distribution of Data
- Statistical Parameters
Data Visualization
- Understanding Data Visualization
- Commonly Used Visualizations
- Frequency Distribution Plot
- Swarm Plot
- Data Visualization Tools
- Languages and Libraries
- Dashboard Based Visualization
- BI and Visualization Trends
Data Science and Machine Learning
- The Data Science Domain
- Machine Learning
- Data Science and Business Strategy
- Data Science Methodology
- Business and Analytic Approach
- Requirements and Collection
- Understanding and Preparation
- Modeling, Evaluation, and Deployment
Analytics Framework and Latest Trends
- Customer Analytics Framework
- Data Understanding and Preparation
- Modeling and Monitoring
- Latest Trends
- Graph Analytics
- Automated Machine Learning
- Open-Source Artificial Intelligence
