Course Overview
Did you know that 97.2% of organizations are investing in big data and AI initiatives? This statistic underscores the critical importance of data analysis skills in today’s data-driven business landscape.
Our comprehensive Data Analysis Training Course equips professionals with the skills needed to navigate the complexities of data evaluation and drive measurable business results in an increasingly competitive marketplace.
Why This Course Is Required?
Organizations without proper data analysis capabilities face significant challenges in today’s business environment. Teams struggle with ineffective decision-making, missed opportunities, and the inability to extract meaningful insights from their data. Without strategic data analysis, businesses fail to leverage their information effectively, often resulting in poor strategic choices and even reputation damage from poorly informed decisions.
Zoe Talent Solutions’ Data Analysis Training Course addresses these challenges by providing a structured framework for creating effective data analysis strategies. Participants learn how to harness the power of Microsoft Excel’s most popular features, optimize data evaluation, and create efficient systems that deliver measurable results. The course bridges the knowledge gap between raw data and actionable insights, enabling professionals to implement comprehensive strategies that drive organizational success.
Research shows that data-driven organizations are 23 times more likely to acquire customers, 6 times as likely to retain customers, and 19 times as likely to be profitable as a result.
Organizations that invest in data analysis training report significantly improved decision-making, better resource allocation, and increased operational efficiency across their business functions.
Course Objectives
Upon completing this Data Analysis Training Certification course successfully, participants will be able to:
- Learn about data model creation
- Explore, analyse, and visualise data
- Sift data using slicers in multiple pivot tables
- Produce aggregate reports using formula-based techniques
- Collect and transform data from multiple sources
- Understand and combine data in mashups
- Generate flexible data aggregations using pivot tables
- Exemplify data visually using pivot charts
- Evaluate margins and other popular ratios using calculations on the pivot table
Training Methodology
Our Data Analysis Training Course delivers a powerful, immersive learning experience through carefully selected methodologies that balance theoretical knowledge with practical application. We’ve crafted each element of the program to ensure participants not only understand data analysis principles but can confidently apply them in real-world situations, creating immediate impact within their organizations.
- Lectures
- Seminars & Presentations
- Group Discussions
- Assignments
- Case Studies & Functional Exercises
Similar to all our courses, this program also follows the transformative ‘Do-Review-Learn-Apply’ model—a proven approach that creates lasting behavioral change by connecting classroom learning to workplace reality. This methodology ensures participants leave with not just knowledge, but actionable skills they can implement immediately to elevate their data analysis effectiveness and drive organizational performance.
Don’t miss this opportunity to enhance your data analysis capabilities. Register today and take your career to the next level!
Who Should Attend?
This Data Analysis Training Certification course would be suitable for:
- IT Professionals
- Testing professionals
- Programming Developers and System Administrators
- Business Intelligence, Data Warehousing and Analytics Professionals
- Data Engineers
- Data Analysts & Business Intelligence Professionals
- Database Administrators and other DB professionals
- Anyone who works with Excel regularly
- Individuals who want to learn data exploration and analysis
- Anyone looking to pursue a career in data analysis or business intelligence
- Participants looking for a comprehensive, engaging, and highly interactive approach to training
Organizational Benefits
Organizations investing in this Data Analysis Training Course will experience significant advantages:
- Give your employees the ability to manage large data volumes using the latest tools
- Provide your workforce with flexible and cost-effective professional development opportunities
- Analyse case studies in this domain and be able to apply successful techniques in your organisation
- Comprehend the principles and practice of Big Data and the context in which this operates
- Enhanced decision-making based on data-driven insights
- Improved operational efficiency through better data management
- Increased competitive advantage through data-informed strategies
- Better resource allocation based on analytical findings
- Enhanced ability to identify market trends and opportunities
- Improved customer understanding and targeting capabilities
According to research by MIT, companies in the top third of their industry in the use of data-driven decision-making were, on average, 5% more productive and 6% more profitable than their competitors. This demonstrates that organizations with strong data analysis capabilities consistently outperform those that lag in this critical area.
Personal Benefits
Professionals who participate in this Data Analysis Training Certification course can benefit in the following ways:
- Progress in your career in the Big Data domain
- Benefit from a structured training with the latest curriculum as per current industry requirements and best practices
- Enhanced analytical thinking and problem-solving skills
- Improved ability to communicate insights effectively to stakeholders
- Increased marketability and career advancement opportunities
- Greater confidence in making data-driven recommendations
- Ability to automate routine analysis tasks for greater efficiency
- Expanded professional toolkit with in-demand technical skills
- Better understanding of data visualization principles
- Capability to identify patterns and trends in complex datasets
Transform your data analysis skills and advance your career. Register for our comprehensive training course today!
Course Outline
MODULE 1: DATA ANALYSIS WITH EXCEL
- What is Data Analysis?
- Excel Pro Tips for Power Users
- Advanced Excel Formulas & Functions
- Structuring Source Data for Analysis in Excel
- Excel tables
- Advantage of Excel tables over regular ranges
- Filter, sort and see totals
- Use tables to add columns to the existing data in the Excel table
- Raw data structure in Excel
- Design & formatting options
- Sorting, filtering, & grouping tools
- Calculated fields, items & values
- Interactive Excel dashboards
MODULE 2: PIVOT TABLES
- Why Pivot Tables?
- Create pivot tables
- Data Analysis with Excel PivotTables
- Use pivot tables and pivot charts to create dashboards
- Connect multiple slicers to the pivot tables
- Configuring pivot table layouts & styles
- Pivot Table layouts & styles
- Pivot Charts, slicers & timelines
MODULE 3: USING PIVOT TABLES FOR ADVANCED CALCULATIONS
- The full power of pivot tables
- Filter pivot table data to achieve interesting subsets of the data
- Apply calculated fields with pivot tables
- Calculate profitability and find anomalies
MODULE 4: AGGREGATE DATA
- Use formulas to aggregate data
- Aggregate data as an alternative to pivot tables
- Flexible reporting layouts
- Pivot charts using more than one table
MODULE 5: LAB ENVIRONMENT & INSTALLATIONS
- Set the lab environment up with Office applications
- Data analysis in Excel using tools:
- pivot tables
- pivot charts and slicers
- Excel data models
- Power Pivot add-in
- DAX expressions for calculated columns and measures
MODULE 6: QUERIES
- What are the queries?
- Power Query for Excel 2010 and 2013
- Excel data model built from a single flat table
- Import multiple tables from a SQL database
- Create an Excel data model using imported data
- Create a collated result with data from text-files and data from a SQL database
- Up & running with Power BI Desktop
- Publishing to Power BI Service
- SQL database analysis for beginners
MODULE 7: DATA FILTERS & MEASURES
- How to establish measures to calculate each cell
- Filter context for calculation
- DAX functions
- Enhanced queries to import data from a formatted Excel sheet
- Queries beyond the standard user interface
MODULE 8: DATA VISUALISATIONS
- Data visualisations in Excel
- Cube functions for year-over-year comparisons
- Create timelines, hierarchies, and slicers
- Excel working together with Power BI
- Excel workbooks with Power BI service
- Excel on the mobile platform
MODULE 9: CASE STUDIES
- Facebook Post data from Spartan Race
- IMDb movie ratings
- Apple Store mobile app ratings
- Shark attack records from 1900-2016
Real World Examples
The effectiveness of data analysis training is well-documented across industries:
- Procter & Gamble implemented a comprehensive data analysis strategy that transformed their business operations. By training employees to leverage data effectively, they were able to make faster, more informed decisions about product development and marketing strategies. This data-driven approach helped P&G reduce time-to-market for new products by 50% and increase their innovation success rate from 15% to 50%.
- Capital One has built its competitive advantage on data analysis capabilities. The company invested heavily in training its workforce to analyze customer data effectively, enabling them to develop highly targeted financial products. This approach has helped Capital One reduce loan losses by 25% while simultaneously growing their customer base. The company attributes over $20 billion in incremental revenue to their data-driven decision making capabilities.
Don’t wait to develop the data analysis skills your organization needs. Register for our comprehensive training course today and position yourself at the forefront of data excellence!
