Course: Data Analytics for Business
The "Data Analytics for Business" course empowers business professionals to leverage data for better decision-making. With the increasing importance of data in the business landscape, this course provides a comprehensive introduction to data analytics, focusing on practical applications and essential tools. Participants will delve into key concepts of data science and analytics, gaining skills to drive data-driven strategies within their organizations.
Hands-on sessions with Tableau will equip participants with the ability to transform complex data into meaningful insights. The course covers critical areas such as data preparation, trend analysis, and geographical visualization, ensuring a well-rounded understanding of various analytical techniques. By the end of the course, participants will be adept at exploring, visualizing, and presenting data, ready to lead their organizations with confidence in the power of analytics.
Course Outcomes
Upon completion of this course, participants will:
- Understand the principles of data analytics and data science, including key concepts and the importance of data-driven decision-making.
- Be skilled in using Tableau for data visualization, including connecting data sources, creating interactive visualizations, and developing dashboards.
- Be able to clean, validate, and prepare data for analysis, handling common issues such as missing values and duplicates.
- Learn to perform trend analysis, handle time-based data, and forecast future trends.
- Gain the ability to create and manipulate geographical data visualizations, including interactive maps and motions.
- Be equipped with the skills to present data insights effectively using best practices in visualization and storytelling.
Who It's For
This course is ideal for:
- Business Analysts
- Data Analysts
- Business, Finance, Marketing, and Sales professionals
- Entrepreneurs and Decision Makers
- Students and Researchers
- Anyone Interested in Data Analysis
Prerequisites
- Familiar with basic computer operations and using software applications.
- A general understanding of business operations and processes
- A willingness to learn about data and its applications in business
Course Modules
1. Introduction to Data Analytics
- Understanding the foundations of data science
- Leveraging data-driven decision making
- Exploring data science workflow, roles, and tools
- Discovering real-world applications of data science
4. Visualization techniques in tableau
- Understanding the statistical basis of visualizations: Histograms, Bar Plots, Line Plots, and Scatter plots
- Developing visualizations within Tableau
- Utilizing Groups, Sets, and Parameters for data organization
2. Getting started with Tableau
- The advantages of using tableau
- Exploring data types and sources
- Connecting to and loading data in Tableau
- Navigating the Tableau interface
- Crafting visualizations in Tableau
5. Visualization more data types
- Working with date and time data types
- Conduct time series analysis and forecasting
- Developing geographical data visualizations
- Animating maps (motions) to show changes over time
3. Data preparation and cleaning
- Data Validation and type Conversion
- Addressing missing values, duplicates, and inconsistencies
- Creating calculated fields for enhanced analysis
6. Presenting data insights
- Adhering to best practices in data visualization
- Building comprehensive dashboards in Tableau
- Creating user stories to communicate insights
Flexible Training Options
At Datixlabs, we understand that every organization has unique training needs and scheduling constraints. That’s why we offer flexible training options to suit various learning environments and timeframes:
