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Data Analytics
Begin your transformative journey with our comprehensive “Advanced Certification in Data Analytics.” This program ensures you become a seasoned professional by delving deeply into advanced data analytics techniques and methodologies.
The first step in our program is the “Advanced Data Analytics Certification,” designed to refine your analytical skills.
- Elevate Your Expertise: Introducing the Advanced Certification in Data Analytics
- Master the Art of Analysis: Advanced Data Analytics Certification
- SAS Advanced Analytics Professional Certification
- Advanced Certification in Data Analytics for Business
- Advanced Analytics Certification
- SAS Certified Advanced Analytics Professional Using SAS 9
Explore Result Oriented
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Course Duration: 16 Weeks
**Objectives:**
– Understand the fundamentals of data analytics.
– Familiarize with key concepts and terminologies.
**Topics:**
– Overview of Data Analytics
– Importance and Applications of Data Analytics
– Data Analytics Process: Collection, Cleaning, Analysis, Visualization
– Key Concepts: Descriptive, Diagnostic, Predictive, and Prescriptive Analytics
**Assignments:**
– Read introductory materials on data analytics.
– Write a brief essay on the impact of data analytics in modern businesses.
**Objectives:**
– Learn techniques for data collection and preparation.
– Understand the importance of data quality.
**Topics:**
– Data Collection Methods (Surveys, Databases, APIs)
– Data Cleaning Techniques (Handling Missing Values, Outliers)
– Data Transformation and Normalization
– Introduction to Data Preparation Tools (Excel, SQL)
**Assignments:**
– Collect a dataset from a provided source and perform basic cleaning tasks.
– Submit a cleaned and prepared dataset along with a report on the cleaning process.
**Objectives:**
– Get started with Tableau for data visualization.
**Topics:**
– Overview of Tableau and Its Capabilities
– Installing Tableau and Setting Up Your Environment
– Connecting Tableau to Data Sources
– Basic Tableau Interface and Features
**Assignments:**
– Install Tableau and connect it to a sample dataset.
– Create a simple dashboard using basic Tableau features.
**Objectives:**
– Learn to create effective visualizations in Tableau.
**Topics:**
– Creating Basic Charts and Graphs (Bar, Line, Pie)
– Building and Customizing Dashboards
– Using Filters, Parameters, and Actions
– Data Aggregation and Calculations in Tableau
**Assignments:**
– Develop a dashboard with multiple visualizations based on a given dataset.
– Implement filters and actions to enhance interactivity.
**Objectives:**
– Master advanced Tableau features and techniques.
**Topics:**
– Advanced Chart Types (Heat Maps, Scatter Plots, Maps)
– Using Calculated Fields and Table Calculations
– Creating Complex Dashboards with Multiple Data Sources
– Performance Optimization in Tableau
**Assignments:**
– Create a complex dashboard incorporating advanced chart types and calculated fields.
– Optimize the dashboard for performance and usability.
**Objectives:**
– Get started with Power BI for data visualization.
**Topics:**
– Overview of Power BI and Its Capabilities
– Installing Power BI and Setting Up Your Environment
– Connecting Power BI to Data Sources
– Basic Power BI Interface and Features
**Assignments:**
– Install Power BI and connect it to a sample dataset.
– Create a simple report using basic Power BI features.