Description

[vc_row css=”.vc_custom_1686800561625{margin-bottom: 15px !important;}”][vc_column][vc_custom_heading text=”INTRODUCTION” font_container=”tag:h4|text_align:left” google_fonts=”font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal” css=””][vc_column_text css=””]In today’s data-driven world, organizations need professionals who can turn raw data into actionable insights. This masterclass provides a comprehensive foundation in data analytics and business intelligence (BI)—from data exploration to dashboard creation—using tools like Excel, Power BI, and real-world case studies.[/vc_column_text][/vc_column][/vc_row][vc_row css=”.vc_custom_1435574626206{margin-bottom: 26px !important;}”][vc_column][stm_multy_separator][/vc_column][/vc_row][vc_row css=”.vc_custom_1686800572960{margin-bottom: 8px !important;}”][vc_column][vc_custom_heading text=”OBJECTIVES” font_container=”tag:h4|text_align:left” google_fonts=”font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal”][/vc_column][/vc_row][vc_row css=”.vc_custom_1686800580337{margin-bottom: 30px !important;}”][vc_column width=”1/2″][vc_column_text css=””]By the end of this program, participants will:

• Understand the role of data analytics and BI in business strategy
• Learn to clean, analyze, and visualize data effectively
• Gain hands-on experience with BI tools (e.g., Excel, Power BI)
• Interpret data to support decision-making and performance tracking
• Build interactive dashboards and reports

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• Business analysts, executives, and decision-makers
• Data enthusiasts and Excel users transitioning into BI
• HR, finance, marketing, and operations professionals
• Entrepreneurs and startup teams
• Anyone looking to make smarter, data-driven decisions

[/vc_column_text][/vc_column][/vc_row][vc_row css=”.vc_custom_1435574626206{margin-bottom: 26px !important;}”][vc_column][stm_multy_separator][/vc_column][/vc_row][vc_row css=”.vc_custom_1686800609742{margin-bottom: 8px !important;}”][vc_column][vc_custom_heading text=”FEEDBACK” font_container=”tag:h4|text_align:left” google_fonts=”font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal”][/vc_column][/vc_row][vc_row][vc_column][vc_column_text]

• Ms. Adila delivers the training properly and is good at teaching.
• The trainer’s delivery method is very good & easy to understand.

[/vc_column_text][/vc_column][/vc_row][vc_row css=”.vc_custom_1435574626206{margin-bottom: 26px !important;}”][vc_column][stm_multy_separator][/vc_column][/vc_row][vc_row css=”.vc_custom_1435385624281{margin-bottom: 20px !important;}”][vc_column][vc_custom_heading text=”1 DAY TRAINING MODULE” font_container=”tag:h3|text_align:left” google_fonts=”font_family:Montserrat%3Aregular%2C700|font_style:700%20bold%20regular%3A700%3Anormal”][/vc_column][/vc_row][vc_row el_class=”member-only-message”][vc_column][vc_column_text el_class=”message”]Full Training content is restricted to members only. Please log in to view more details. Registration are Free![/vc_column_text][/vc_column][/vc_row][vc_row el_class=”member-only”][vc_column][stm_course_lessons title=”Day One (9am – 5pm)”][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”MODULE 1: INTRODUCTION TO DATA ANALYTICS & BI”]

• What is data analytics vs. business intelligence?
• The data-to-decision lifecycle
• Types of analytics: descriptive, diagnostic, predictive, prescriptive
• Case Study: How companies use BI to drive performance

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”MODULE 2: DATA PREPARATION & CLEANING (EXCEL FOCUS)”]

• Data types, sources & importing datasets
• Cleaning messy data using Excel functions
• Removing duplicates, handling missing values
• Hands-On Exercise: Data cleaning challenge

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”exercise” title=”MODULE 3: EXPLORATORY DATA ANALYSIS (EDA)”]

• Sorting, filtering, and summarizing data
• Pivot tables, charts, and conditional formatting
• Identifying trends and outliers
• Activity: Mini data exploration project

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”exercise” title=”MODULE 4: INTRODUCTION TO POWER BI”]

• Power BI interface & workflow
• Connecting to data sources
• Creating basic visualizations
• Live Demo: Building your first Power BI dashboard

[/stm_course_lesson][/stm_course_lessons][stm_course_lessons title=”Day Two (9am – 5pm)”][stm_course_lesson icon=”fa fa-file” badge=”practice” title=”MODULE 5: DATA MODELING & RELATIONSHIPS IN POWER BI”]

• Data tables, relationships, and normalization
• Introduction to DAX (Data Analysis Expressions)
• Calculated columns and measures
• Hands-On: Creating a data model

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”MODULE 6: INTERACTIVE DASHBOARDS & KPIS”]

• Designing dashboards for decision-makers
• Using slicers, filters, and drill-downs
• Visualizing KPIs and performance metrics
• Activity: Build a dynamic dashboard

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”MODULE 7: DATA STORYTELLING & PRESENTATION SKILLS”]

• Turning insights into compelling stories
• Choosing the right visuals for your message
• Presenting data to non-technical stakeholders
• Practice: Present your dashboard to the group

[/stm_course_lesson][stm_course_lesson icon=”fa fa-file” badge=”seminar” title=”MODULE 8: FINAL PROJECT & WRAP-UP”]

• Group project: Analyze a dataset and present findings
• Peer feedback and trainer insights
• Summary of key takeaways
• Post-training resources & certification

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