Data Analytics Training
DATA ANALTICS
Training Summary
This comprehensive Data Analytics training program is designed to equip participants with the essential skills to extract valuable insights from data. The course covers a wide range of topics, including:
- Data Collection and Cleaning: Gathering, cleaning, and preparing data for analysis.
- Data Exploration and Visualization: Exploring data using statistical techniques and creating insightful visualizations.
- Statistical Analysis: Applying statistical methods to analyze data and draw meaningful conclusions.
- Machine Learning: Building predictive models to forecast future trends and make informed decisions.
- Data Mining: Discovering hidden patterns and relationships within large datasets.
- Big Data Analytics: Processing and analyzing massive amounts of data.
- Data Warehousing and Business Intelligence: Designing and implementing data warehouses to support business intelligence.
- Collect and Clean Data: Gather, clean, and prepare data for analysis.
- Explore and Visualize Data: Use data visualization techniques to communicate insights effectively.
- Apply Statistical Analysis: Utilize statistical methods to analyze data and draw conclusions.
- Build Machine Learning Models: Develop predictive models to forecast future trends.
- Discover Hidden Patterns: Apply data mining techniques to uncover valuable insights.
- Process Big Data: Handle and analyze large datasets efficiently.
- Design Data Warehouses: Design and implement data warehouses to support business intelligence.
- Make Data-Driven Decisions: Use data analytics to inform strategic decision-making.
- Communicate Data Insights: Effectively communicate data insights to both technical and non-technical audiences.
- Stay Updated on Data Analytics Trends: Keep up-to-date with the latest advancements in data analytics.
Training Objectives
Upon completion of this training, participants will be able to:
By achieving these objectives, participants will be well-prepared to leverage data analytics to drive business growth and innovation.
The program will cover
By combining Agile Project Management and Scrum Master training, participants will gain a comprehensive understanding of Agile principles and practices, enabling them to lead and manage successful Agile projects.
Problem Solving
- Defining the Problem Statement
- CRISP-DM
- Identifying Potential Root Causes Using the 5 Why's
- Designing an Issue Tree
- The McKinsey MECE Approach to Problem Solving
- The Prioritization Matrix
- Choosing the Right Data Analytics Approach
- Making a Decision
Microsoft Excel for Data Analytics
- Introduction to Data Analytics
- Introduction to Microsoft Excel
- Microsoft Excel for Data Manipulation and Cleaning
- Microsoft Excel for Data Analysis
- Microsoft Excel for Dashboarding and Reporting
- Data Storytelling
Power BI
- Introduction to Power BI
- Data Modelling
- Power BI for Data Analytics
- DAX - Data Analysis eXpressions
- Power BI for Dashboarding
- Power BI Service
SQL (Structured Query Language)
- Introduction to SQL
- SQL Commands
- SQL for Data Analytics
- Data Query Language
- Aggregate Functions
- Joins and Subqueries
Financial Analytics
- Introduction to Accounting Concepts
- Understanding Financial Statements
- Financial/Ratio Analysis
- Depreciation and Amortization
- Building Business and Financial Model Assumptions - New Business
- Income Statement Modelling
- Balance Sheet Modeling
- Cash Flow Statement Modelling
- Valuation using DCF and Multiples
- Scenario and Sensitivity Analysis
- Financial Dashboard and Reporting
- Building Business and Financial Model Assumptions - Existing Business
