Data Analytics Training
Training Summary
We offer high quality hands-on training (classroom and on-site) in Data Analytics training. We cover the following topics:
- Data Analysis with Power BI
- Data Analysis with Excel
- Microsoft Fabric
- Python for Data Analysis
Power BI Training
- In today’s data-driven world, the ability to effectively visualize and analyze data is crucial for making informed business decisions. Power BI, a business analytics service by Microsoft, stands out as one of the most powerful tools available for this purpose. It transforms raw data into insightful and interactive visualizations, helping organizations across various industries to gain actionable insights and drive strategic initiatives.
- Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data might be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what’s important, and share that with anyone or everyone you want.
- Data Analytics for Accountants
Equip yourself with essential data analytics skills to uncover trends, optimize decision-making, and enhance financial reporting in the accounting profession.
Power BI Courses
Master the Art of Data Visualization and Analysis with Power B
Introduction to Power BI
Learn the fundamentals of Power BI, including connecting to data sources and creating visualizations.
Power BI for Developers
Explore advanced customization and development techniques within Power BI.
Advanced DAX
Master advanced data analysis expressions for complex calculations.
Power Query (M Programming)
Dive into data transformation and automation using Power Query.
Power BI for Accountants
Streamline financial data analysis and reporting with tailored Power BI tools designed specifically for accounting professionals.
EXCEL for DATA ANALYTICS
Our Advanced Excel Course is designed to elevate your data management and analysis skills. Over 8 hours, you will master various data tools such as Converting Text to Columns, Data Validation, and Goal Seek. You’ll also learn to enhance collaboration by Protecting Worksheets and Workbooks, ensuring data security with Password Protection, and finalizing your workbooks. The course dives deep into the powerful functionalities of Pivot Tables and Pivot Charts, including creating, enhancing, and working with them. This is vital for dynamic data analysis and reporting. Lastly, you’ll gain expertise in Creating Dashboards with pivot tables and charts, designing interactive layouts, and using slicers and timelines for data visualization. By the end of this course, you will be able to apply these skills to streamline and optimize your workflow effectively.
Advanced Excel Courses
Master the Art of Data Visualization and Analysis with Power B
Data Analysis and Visualization with Excel
Unleash the full potential of Excel for data analysis by mastering tools like Pivot Tables, advanced formulas, and dynamic dashboards. Learn to visualize data effectively and create compelling stories that drive decision-making.
Financial Modelling with Excel
Build and refine financial models that empower organizations to forecast, budget, and make strategic decisions. This course covers goal-seeking, scenario analysis, and best practices for creating accurate and efficient models.
Microsoft Fabric
Get ready to dive into the practical aspects of data management with Fabric in this hands-on, project-based course. Designed for data professionals and engineers, this course walks you through real-world scenarios, focusing on a use case scenario frequently encountered when working with Microsoft Fabric
What you'll learn:
Creating and Managing Data Warehouses
Learn to set up Bronze, Silver, and Gold data layers in Microsoft Fabric, leveraging a modern Lakehouse architecture with Medallion principles for organized and efficient data processing.
Automating Data Refresh
Master the creation and execution of stored procedures to automate data refreshes, ensuring up-to-date information across your platforms without manual interventions.
View and Table Management
Develop skills to create, drop, and manage views and tables, optimizing database structures for improved performance and easier data manipulation.
Semantic Models in MS Fabric
Understand the role and functionality of semantic models in Microsoft Fabric, enabling effective organization and representation of complex datasets.
Power BI Integration
Seamlessly connect your data warehouse to Power BI, unlocking the ability to create dynamic reports and dashboards that drive strategic decision-making.
Troubleshooting Common Issues
Develop skills to create, drop, and manage views and tables, optimizing database structures for improved performance and easier data manipulation.
Python
Data Analysis has been around for a long time. But up until a few years ago, developers practiced it using expensive, closed-source tools like Tableau. But recently, Python, SQL, and other open libraries have changed Data Analysis forever.
In the Data Analysis with Python Certification, you’ll learn the fundamentals of data analysis with Python. By the end of this certification, you’ll know how to read data from sources like CSVs and SQL, and how to use libraries like Numpy, Pandas, Matplotlib, and Seaborn to process and visualize data.
Python for Data Analytics - Beginner to Advanced
Master the essentials of Python programming for data analysis and machine learning. This course equips you with practical skills to clean, explore, and manipulate data, as well as build predictive models using industry-standard libraries. Perfect for those looking to elevate their data-driven decision-making capabilities.
Data Cleaning and Preparation
Learn to develop Python code for cleaning and preparing data for analysis. Handle missing values, normalize datasets, format data, and implement binning techniques for organized and accurate data preprocessing.
Data Manipulation and Pipelines
Gain expertise in manipulating data with dataframes, summarizing datasets, analyzing correlations, and creating efficient data pipelines for seamless data workflows.
Exploratory Data Analysis
Dive into real-world datasets and uncover meaningful insights using Python libraries such as Pandas, Numpy, and Scipy. Apply analytical techniques to understand data trends and distributions effectively.
Regression Modeling and Machine Learning
Build, evaluate, and apply regression models using the scikit-learn library. Use these models for prediction and informed decision-making, bridging the gap between data insights and actionable strategies.
Ready to Transform Your Data Journey?
From Insight to Action — Let Us Guide Your Transformation