Data Analytics Using Excel and Power BI Workshop

10 months ago Posted By : User Ref No: WURUR195528 0
  • Image
  • TypeWorkshop
  • Image
  • Location Nairobi, Kenya,Nairobi,Kenya
  • Price
  • Date 23-09-2024 - 27-09-2024
Data Analytics Using Excel and Power BI Workshop, Nairobi, Kenya,Nairobi,Kenya
Workshop Title
Data Analytics Using Excel and Power BI Workshop
Event Type
Workshop
Workshop Date
23-09-2024 to 27-09-2024
Location
Nairobi, Kenya,Nairobi,Kenya
Organization Name / Organize By
Indepth Research Institute
Organizing/Related Departments
Training Department
Organization Type
Organization
WorkshopCategory
Both (Technical & Non Technical)
WorkshopLevel
All (State/Province/Region, National & International)
Related Industries

Education/Teaching/Training/Development

Information Technology

Location
Nairobi, Kenya,Nairobi,Kenya

Course Overview

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Companies need data analysts to sort through this data to help make decisions about their products, services or business strategies.

Everything you need to get started in the world of data analytics is already on your computer in the wonderful application called Excel which has robust features. Microsoft Power BI is another tool from Microsoft that gathers and processes your data, analyzes and provides data-driven insights that enable managers, business analysts and key decision makers to make informed decisions in real-time.

Participants for this IRES training will deliver actionable insights by working with available data and applying domain expertise. They provide meaningful business value through easy-to-comprehend data visualizations, enable others to perform self-service analytics and deploy and configure solutions for consumption.

Duration

5 Days

Who Should Attend

  1. Business analysts
  2. Data analysts and data scientists
  3. Financial analysts
  4. Marketing professionals
  5. Project managers
  6. IT professionals
  7. Operations managers
  8. HR professionals

Personal Impact

  1. Enhanced proficiency in data analytics using Excel and Power BI
  2. Improved ability to create insightful dashboards and reports
  3. Greater confidence in making data-driven decisions
  4. Increased efficiency in data manipulation, visualization, and reporting
  5. Expanded career opportunities in data analysis and business intelligence roles

Organizational Impact

  1. Improved decision-making through effective data analysis and reporting
  2. Enhanced ability to monitor key business metrics and performance indicators
  3. Streamlined data management and reporting processes
  4. Increased productivity with automated and interactive dashboards
  5. Better alignment of business strategies with data-driven insights

Course Objectives

  1. Understand the importance of data analytics
  2. Gain an immersive understanding of the practices and processes in data analytics
  3. Understand how to clean and organize data for analysis using Excel and Power BI
  4. Learn key analytical skills and tools
  5. Learn to apply advanced techniques in data modeling
  6. Understand how to complete analysis and calculations using Excel and Power BI
  7. Learn how to visualize and present data findings in dashboards, presentations and reports

Course Outline

Module 1: Introduction to Data Analytics and Excel Fundamentals

  • Overview of Data Analytics and its Importance
  • Navigating Excel for Data Analysis
  • Essential Excel Functions and Formulas for Analytics
  • Data Cleaning and Preparation Techniques in Excel
  • Case Study: Cleaning and analyzing sales data to identify key market trends

Module 2: Advanced Excel for Data Analysis

  • Advanced Data Manipulation with Excel Functions
  • Utilizing Pivot Tables for Dynamic Data Analysis
  • Data Visualization with Pivot Charts
  • Introduction to Excel Dashboards
  • Case Study: Analyzing customer segmentation data using Pivot Tables and Pivot Charts to develop targeted marketing strategies

Module 3: Building Dashboards and Reports in Excel

  • Designing Professional Dashboards in Excel
  • Automating Reports with Excel Macros (Optional)
  • Case Studies: Real-World Applications of Excel Dashboards
  • Preparing Data for Power BI Integration
  • Case Study: Creating an executive dashboard to monitor key financial metrics and automate monthly reports

Module 4: Introduction to Power BI and Data Modeling

  • Introduction to Power BI: Interface and Features
  • Importing and Transforming Data in Power BI
  • Building Data Models and Relationships in Power BI
  • Creating Visualizations and Simple Dashboards in Power BI
  • Case Study: Developing a Power BI dashboard to track regional sales performance and product profitability

Module 5: Advanced Power BI Analytics and Reporting

  • Advanced Data Modeling and DAX (Data Analysis Expressions)
  • Designing Interactive Reports and Dashboards in Power BI
  • Implementing Filters, Slicers, and Drill-through Reports
  • Publishing and Sharing Reports using Power BI Service
  • Case Study: Building an interactive Power BI report to analyze customer behavior and predict future trends

Related Courses

  1. Fundamentals of Predictive Analytics Course
  2. Data Mining Course
  3. Advanced Statistical Data Analysis using Excel Course
  4. Unsupervised Learning for Data Analytics using TensorFlow Training Course
  5. Mobile Data Collection and Data Management using SurveyCTO Course
  6. Research Design and Data Analysis for Experimental Studies Training Course

Course Administration Details

Methodology

The instructor led trainings are delivered using a blended learning approach and comprise of presentations, guided sessions of practical exercise, web-based tutorials and group work.

Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

Accreditation

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

Training Locations

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch. 

In addition to our training in Kenya (Nairobi, Mombasa, Kisumu, Nakuru and Naivasha), we also conduct training virtually and in the following locations:

  1. Dubai - United Arab Emirates
  2. Cape Town, Johannesburg, and Pretoria - South Africa
  3. Cairo - Egypt
  4. Dar-es-Salaam, Zanzibar, and Arusha - Tanzania
  5. Kigali - Rwanda
  6. Kampala - Uganda
  7. Accra - Ghana

Accommodation and Airport Transfer

Accommodation and airport transfer are arranged upon request. For reservations, please contact us.

Tailor-Made Training

This training can also be customized to suit the needs of you or your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location of your choice. For further inquiries, please contact us.

Registration Fees
Not Mention
Registration Ways
Email
Phone
Website
Address/Venue
IRES Training Centre  Tala Road, Off Kiambu Road Runda-Nairobi  Pin/Zip Code : 00100
Landmark
Karura Forest
Official Email ID
Contact
Indepth Research Institute Ltd

Tala Road, Off Kiambu Road Runda-Nairobi

[email protected]

   +254715077817
Indepth Research Institute Ltd

Tala Road, Off Kiambu Road Runda-Nairobi