Data Analytics

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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

They are highly trained for quickly response and provide great service to our customers. Experts are give profitability and success of our business growth & marketing. Network solutions’ to Windows and open source operating systems, as those software platforms gained networking capabilities.

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.