Duration
1 day
What you will learn
- Get familiar with essential concepts of Data Analytics, Data Science, Artificial Intelligence, and Machine Learning
- Practically understand how to map a business problem in your organization into an analytics solution
- Learn how to build the in-house data analytics team in your organization
- Know what kind of training or skills people need to build a successful data science team
- Data cleaning as a pre-processing step towards making the data more consistent and high quality for data analysis
- Explore various visualization techniques for bivariate and multivariate analysis
1. Introduction
- Data Analytics and the applications for analytics
- Types of Analytics
- Exploratory Analytics: Concept, Usage, Techniques and Tools
- Predictive Analytics: Concept, Usage, Techniques and Tools
- Prescriptive Analytics: Concept, Usage, Techniques and Tools
- Data Analytics team members and their roles and expected qualifications
- How to differentiate the Data Scientists, Data Analysts, and Data Engineers?
- How to identify the project objectives in your organization using SMART methodology?
- 2. Data Types and Sources
- How to prepare the right data for your data analytics project?
- Data Repositories
- Different Types of File Formats
- How to design an ETL in Data Analytics Projects
- What is Data Democratization?
- Big Data and its applications
- Introduction to Big Data concepts and technologies
- Data vs. Information vs. Actionable Insights
- 3. Data Cleaning and preparation
- Types of Variables
- Variable Characteristics
- Missing Data Imputation
- Variable transformation
- Outlier Engineering
- Feature Scaling
- Engineering Date-Time
- 4. Introduction to Data Visualizations using python
- What is Data Visualization and Dashboarding Softwares?
- Some Theoretical Principles Behind Data Visualization
- Storytelling in Data Analysis
- Histograms-Visualize the Distribution of Continuous Numerical Variables
- Boxplots-Visualize the Distribution of Continuous Numerical Variables
- Scatter Plot-Visualize the Relationship Between 2 Continuous Variables
- Bar Plot
- Pie Chart
- Line Chart
Programme scope, delivery arrangements and suitability are confirmed during enquiry.