Overview In today’s data-driven world, the ability to analyze and forecast data is a crucial skill for professionals across various …
( 10 Reviews )
32 Students
In today’s data-driven world, the ability to analyze and forecast data is a crucial skill for professionals across various industries. This online course, “Data Analysis and Forecasting in Excel,” equips learners with essential techniques to harness Excel’s powerful features for data manipulation, analysis, and predictive modeling. Through hands-on exercises and real-world scenarios, participants will delve into statistical analysis, data visualization, and time series forecasting methods. By the end of the course, you will master the art of transforming raw data into meaningful insights, making informed decisions, and predicting future trends with confidence.
On Completion of this online course, you’ll acquire:
This course begins with an introduction to Excel’s basic functionalities, ensuring a solid foundation in data handling and manipulation techniques. As you progress, you’ll delve deeper into statistical analysis, learning how to perform regression analysis, calculate correlations, and interpret results to uncover relationships within datasets. Practical exercises will guide you through creating impactful data visualizations that facilitate clear communication of insights. A significant focus will be on time series forecasting methods, where you’ll explore techniques like moving averages, exponential smoothing, and trend analysis. By the end of the course, you will be adept at using Excel not just as a data storage tool but as a powerful platform for analyzing trends, making data-driven predictions, and presenting findings effectively.
This course is designed for professionals across industries who need to analyze data and make informed decisions using Excel. It’s suitable for analysts, managers, marketers, and anyone interested in enhancing their data analysis skills. No prior experience in data analysis is required, making it accessible to beginners looking to build a solid foundation in Excel-based data analytics.
Participants should have a basic understanding of Excel’s interface and functions. Access to Microsoft Excel (preferably 2013 or later versions) on a Windows PC is essential for completing assignments and exercises. Familiarity with fundamental statistical concepts like averages, correlations, and basic charts will be beneficial but not mandatory.
Upon successful completion of the Data Analysis and Forecasting in Excel course, learners can obtain both a PDF certificate and a Hard copy certificate for completely FREE. The Hard copy certificate is available for a nominal fee of £3.99, which covers the delivery charge within the United Kingdom. Additional delivery charges may apply for orders outside the United Kingdom.
An outstanding online course with clear explanations and practical examples. I could study at my own pace and still feel fully supported throughout. It’s truly boosted my confidence and career prospects
The course was well-structured, engaging, and easy to follow. The flexibility made it perfect alongside my full-time job. I’ve gained valuable, real-world skills that I can apply immediately.
Excellent learning experience from start to finish. The content was professional, up-to-date, and highly relevant. I would highly recommend it to anyone looking to upskill online.
| Data Analysis and Forecasting in Excel | |||
| Modifying a Worksheet | |||
| Insert, Delete, and Adjust Cells, Columns, and Rows | 00:10:00 | ||
| Search for and Replace Data | 00:09:00 | ||
| Use Proofing and Research Tools | 00:07:00 | ||
| Working with Lists | |||
| Sort Data | 00:10:00 | ||
| Filter Data | 00:10:00 | ||
| Query Data with Database Functions | 00:09:00 | ||
| Outline and Subtotal Data | 00:09:00 | ||
| Analyzing Data | |||
| Apply Intermediate Conditional Formatting | 00:07:00 | ||
| Apply Advanced Conditional Formatting | 00:05:00 | ||
| Visualizing Data with Charts | |||
| Create Charts | 00:13:00 | ||
| Modify and Format Charts | 00:12:00 | ||
| Use Advanced Chart Features | 00:12:00 | ||
| Using PivotTables and PivotCharts | |||
| Create a PivotTable | 00:13:00 | ||
| Analyze PivotTable Data | 00:12:00 | ||
| Present Data with PivotCharts | 00:07:00 | ||
| Filter Data by Using Timelines and Slicers | 00:11:00 | ||
| Working with Multiple Worksheets and Workbooks | |||
| Use Links and External References | 00:12:00 | ||
| Use 3-D References | 00:06:00 | ||
| Consolidate Data | 00:05:00 | ||
| Using Lookup Functions and Formula Auditing | |||
| Use Lookup Functions | 00:12:00 | ||
| Trace Cells | 00:09:00 | ||
| Watch and Evaluate Formulas | 00:08:00 | ||
| Automating Workbook Functionality | |||
| Apply Data Validation | 00:13:00 | ||
| Search for Invalid Data and Formulas with Errors | 00:04:00 | ||
| Work with Macros | 00:18:00 | ||
| Creating Sparklines and Mapping Data | |||
| Create Sparklines | 00:07:00 | ||
| MapData | 00:07:00 | ||
| Forecasting Data | |||
| Determine Potential Outcomes Using Data Tables | 00:08:00 | ||
| Determine Potential Outcomes Using Scenarios | 00:09:00 | ||
| Use the Goal Seek Feature | 00:04:00 | ||
| Forecasting Data Trends | 00:05:00 | ||
Yes, Discover Training provides accredited and CPD-certified courses, ensuring learners receive recognised qualifications that support career progression and professional compliance.
Anyone can enrol, including students, professionals, job seekers, career changers, and organisations. Most courses do not require previous experience, making them accessible to learners at all levels.
Discover Training offers courses across multiple sectors, including business, health and safety, compliance, leadership, IT, personal development, and professional skills training.
You will have 14 days to revoke your Course purchase from your purchase date. Regrettably, refunds are not allowed after your purchase have been approved, and materials have been posted to the student’s dashboard or accessed.
Yes, learners receive a downloadable digital certificate upon successful completion, suitable for CPD records, CVs, and professional portfolios.
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