12 Essential Skills For 2025

GLBC in UK is Inviting Applications For: 2025 Global Leadership & Business Certification, Cambridge 

- Type: Training
- Location: Clare College, Cambridge
- Duration: 5 Days
- Eligible Countries : All
- Deadline: 18th April, 2025

Funding Type:

- Fully
- Partial and
- Self Funded

Benefits:

- Air ticket
- Accommodation
- Certificate
- Conference kits, etc

Grab the Fully Funded seat on time because the seat is limited!

Apply here:
https://kenyatrends.co.ke/glbc-in-uk-is-inviting-applications-for-2025-global-leadership-business-certification-cambridge

In 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈, data transformation, and cleaning are crucial steps in preparing your data for analysis and visualization. Power BI provides a range of tools and functionalities to perform these tasks efficiently.

1- 𝐃𝐚𝐭𝐚 𝐒𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐯𝐢𝐭𝐲:

Connect to your data source(s) by selecting the appropriate connector from Power BI's extensive list. This can include databases, files (such as Excel or CSV), online services, or even custom data sources.

2- 𝐃𝐚𝐭𝐚 𝐋𝐨𝐚𝐝 𝐚𝐧𝐝 𝐐𝐮𝐞𝐫𝐲 𝐄𝐝𝐢𝐭𝐨𝐫:

Once connected, Power BI's Query Editor provides a user-friendly interface for transforming and cleaning your data before loading it into your data model.
Click on "Transform Data" or "Edit Queries" to open the Query Editor.

3 - 𝐃𝐚𝐭𝐚 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧:

Use the Query Editor's transformation capabilities to perform various data manipulation tasks,
such as:
- 𝐑𝐞𝐧𝐚𝐦𝐢𝐧𝐠 𝐜𝐨𝐥𝐮𝐦𝐧𝐬 : Rename columns to make them more descriptive.
- 𝐑𝐞𝐦𝐨𝐯𝐢𝐧𝐠 𝐜𝐨𝐥𝐮𝐦𝐧𝐬 : Remove unnecessary columns from your dataset.
- 𝐂𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐭𝐲𝐩𝐞𝐬 : Convert data types (e.g., from text to date or number).
- 𝐀𝐝𝐝𝐢𝐧𝐠 𝐨𝐫 𝐫𝐞𝐦𝐨𝐯𝐢𝐧𝐠 𝐫𝐨𝐰𝐬 : Filter out unwanted rows or add calculated rows.
- 𝐒𝐩𝐥𝐢𝐭𝐭𝐢𝐧𝐠 𝐨𝐫 𝐦𝐞𝐫𝐠𝐢𝐧𝐠 𝐜𝐨𝐥𝐮𝐦𝐧𝐬 : Split columns based on delimiters or merge columns together.
- 𝐀𝐩𝐩𝐥𝐲𝐢𝐧𝐠 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐬 : Apply standard transformations such as sorting, filtering, and grouping.

4 - 𝐃𝐚𝐭𝐚 𝐂𝐥𝐞𝐚𝐧𝐢𝐧𝐠:

Clean your data to ensure accuracy and consistency, which may include:
- 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐯𝐚𝐥𝐮𝐞𝐬: Replace or remove missing values as appropriate.
- 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐢𝐳𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐟𝐨𝐫𝐦𝐚𝐭𝐬: Ensure consistency in date formats, text capitalization, etc.
- 𝐑𝐞𝐦𝐨𝐯𝐢𝐧𝐠 𝐝𝐮𝐩𝐥𝐢𝐜𝐚𝐭𝐞𝐬: Identify and remove duplicate records from your dataset.
- 𝐂𝐨𝐫𝐫𝐞𝐜𝐭𝐢𝐧𝐠 𝐞𝐫𝐫𝐨𝐫𝐬: Identify and correct any errors or inconsistencies in your data.
- 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 𝐨𝐮𝐭𝐥𝐢𝐞𝐫𝐬: Address outliers or anomalies in your data through filtering or transformations.

5 - 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧𝐬:

Power BI's Query Editor also supports more advanced transformations using Power Query M language or DAX expressions. This allows for complex data manipulation and calculations tailored to your specific requirements.
Data Load:

Once you've completed your transformations and cleaning, click on "Close & Load" to load the cleaned data into Power BI's data model for analysis and visualization.

6- 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐧𝐠 𝐑𝐞𝐟𝐫𝐞𝐬𝐡:

Set up automated data refresh schedules to ensure that your data stays up-to-date with the latest changes from your data sources.

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When to use Excel & Power BI

Complete structured Power BI syllabus for data analysts

1. Introduction to Power BI
Overview of Power BI Desktop, Service, and licensing. Power BI workflow: data import, transform, model, visualize, and publish.

2. Connecting to Data Sources
Connecting to Excel, CSV, SQL Server, and others. Import vs. Direct Query, data refresh, and scheduling.

3. Power Query Editor (ETL)
Data transformation: removing duplicates, filtering, changing data types. Merging and appending queries, introduction to the M Language.

4. Data Modeling
Creating relationships between tables, star schema design, calculated columns/tables. Understanding cardinality, cross-filtering, and data categorization.

5. DAX (Data Analysis Expressions)
Basic DAX syntax, measures, and calculated columns. Aggregation, logical, and filter functions (SUM, IF, CALCULATE). Time intelligence functions for dynamic calculations (YTD, MTD).

6. Visualizations
Building visuals (bar, line, pie, etc.), custom visuals. Formatting and interactions (drill-down, cross-filtering). Maps and geographical visualizations, hierarchies.

7. Filters and Slicers
Using filters at different levels (report, page, visual). Slicers and drill-through filters for report interaction.

8. Publishing and Sharing
Publishing reports, creating dashboards, sharing reports. Workspaces, embedding reports, Power BI Apps.

9. Row-Level Security (RLS)
Implementing RLS to manage user access to data.

10. Power BI Mobile
Optimizing reports for mobile view.

11. Dataflows and Datasets
Creating reusable dataflows, linking datasets, and composite models.

12. Bookmarks and Buttons
Using bookmarks for report storytelling, buttons for navigation.

13. AI Capabilities
AI visuals (Decomposition Tree, Key Influencers), integrating Azure AI.

14. Paginated Reports
Creating pixel-perfect paginated reports for detailed data representation.

15. Data Refresh
Scheduled/manual refresh, data gateways for on-premises data.

16. Power BI and SQL
Direct connection to SQL, using stored procedures with Power BI.

17. Performance Optimization
Best practices for optimizing performance and report load times.

18. Real-Time Dashboards
Streaming datasets, live dashboards with APIs, and real-time data integration.

19. Case Studies and Projects
Building industry-specific dashboards (finance, sales, marketing), real-world scenarios.

I have curated the best interview resources to crack Power BI Interviews 👇👇
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Scholarship

York University Graduate Scholarships for International Students (2025/2026)

York University, Canada is offering various scholarships for international students.

1. International Entrance Scholarships ($20k - $45k per year)
2. York Science Scholars Award ($10,000)
3. Ontario Graduate Scholarship ($15,000 per year)
4. International Student Emergency Bursary

How to Apply:
https://kenyatrends.co.ke/york-university-graduate-scholarships-for-international-students-2025-2026/

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Data Visualization Overview

Free Online courses with certificate from Microsoft

Python for beginners
https://learn.microsoft.com/en-us/training/paths/beginner-python/

Get started with Azure Cosmos DB for NoSQL
https://learn.microsoft.com/en-us/training/paths/get-started-azure-cosmos-db-sql-api/

Introduction to machine learning with Python and Azure Notebooks
https://learn.microsoft.com/en-us/training/paths/intro-to-ml-with-python/

Automate development tasks by using GitHub Actions
https://bit.ly/48E75xT

SQL, Power BI & AI Fundamentals
https://tinyurl.com/bdcsnxmf

Write your first code using C#
https://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/

Join for more free resources
https://t.me/techpsyche

ENJOY LEARNING 👍👍

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Data Visualization Tools

𝐔𝐩𝐬𝐤𝐢𝐥𝐥 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐬𝐞 𝟑 𝐦𝐮𝐬𝐭-𝐝𝐨 𝐟𝐫𝐞𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐜𝐨𝐮𝐫𝐬𝐞𝐬! 📊

1️⃣ Data Analytics Essentials by Cisco - Learn the fundamentals.

2️⃣ Google Data Analytics Professional - Access it for FREE using this ChatGPT prompt: 'Write a financial aid for me to apply on Coursera’s Google Data Analytics Professional course considering that I am a student who does not earn yet.'

3️⃣ Complete Power BI Course by Microsoft - Master data visualization!

𝐋𝐢𝐧𝐤👇:-

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HOW TO LEARN POWER BI IN 2025 👇👇

🔺Get Familiar with Basics: Start by understanding the basics of Power BI, such as data sources, data modeling, and visualization concepts.

🔺Install Power BI Desktop: Download and install Power BI Desktop, the free version of Power BI, to begin creating reports and dashboards on your local machine.

🔺Explore Sample Data: Use sample datasets provided by Power BI to practice creating visualizations and getting comfortable with the interface.

🔺Learn Data Loading: Understand how to import data into Power BI from various sources, including Excel, databases, and online services.

🔺Data Transformation: Learn the process of cleaning and transforming data using Power Query to ensure it's suitable for analysis.

🔺Data Modeling: Grasp the fundamentals of data modeling, including relationships between tables, creating calculated columns, and measures.

🔺Create Visualizations: Practice creating different types of visualizations like charts, tables, and maps to represent your data effectively.

🔺Master DAX (Data Analysis Expressions): DAX is the formula language used in Power BI. Learn how to create calculated columns, measures, and calculated tables using DAX.

🔺Build Dashboards: Combine visualizations into interactive dashboards to convey insights effectively. Understand how to use filters and slicers.

🔺Publish to Power BI Service: Explore Power BI Service, where you can publish your reports and share them with others. Learn about collaboration features.

🔺Explore Advanced Features: Dive into advanced features like Power BI Apps, Power Automate integration, and Power BI Embedded for more sophisticated applications.

🔺Stay Updated: As Power BI is regularly updated, stay informed about new features and improvements. Join online communities or forums to connect with other Power BI users and learn from their experiences.

👀🧠Remember, consistent practice and real-world projects will enhance your skills. Utilize online resources, tutorials, and documentation provided by Microsoft to deepen your understanding.

3 Must Do Data Analytics Courses: https://tinyurl.com/m239d2s8

When to Use Power BI: https://t.me/dataanalysisresourcestp/65

Follow this WhatsApp Channel for More Resources:
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Understanding Essential Charts:

1️⃣ Line Charts: These are your go-to for tracking trends over time.

2️⃣ Bar Charts: Perfect for comparing different categories, like sales in different regions or the popularity of different products.

3️⃣ Pie Charts: These are all about showing proportions.

4️⃣ Scatter Plots: If you're trying to find relationships between variables, scatter plots are your friend.

5️⃣ Histograms: how data is distributed, histograms are your tool of choice.

Data Visualization Tools 👇
https://t.me/dataanalysisresourcestp/70

𝟑 𝐦𝐮𝐬𝐭-𝐝𝐨 F𝐫𝐞𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐜𝐨𝐮𝐫𝐬𝐞𝐬👇
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2025 Google Conference Scholarships

Perks:

* Roundtrip airfare
* Conference registration
* $100 stipend
* Hotel accommodation

Criteria:

* Be a full-time student enrolled with a recognized university in Africa OR Asia Pacific(APAC) who is in need of conference travel funds.
* If you're Non-African, also check the provided link for appropriate option.

Apply here:
https://kenyatrends.co.ke/2025-google-conference-scholarships/

Interviewer: "What do you know about our company?"
Candidate: "I think you do something related to tech?"

Big mistake! A vague or uncertain response makes you look unprepared & disinterested. Employers want to see that you’ve taken the time to understand their company & why you’d be a great fit.

What NOT to say:
❌ "I don’t know much, but I’m eager to learn" (shows a lack of preparation)
❌ "I just saw the job posting & applied" (feels random & unintentional)
❌ "It’s a big company, so I thought it’d be a good opportunity" (too generic & uninformed)

How to IMPRESS with your answer:
✔️ Shows research & enthusiasm
"Your company is a leader in [industry/product/service] & I was excited to learn about your recent [mention an achievement, innovation or project]. I really admire your commitment to [company value or mission] & that’s one of the reasons I’m drawn to this opportunity"

✔️ Demonstrates genuine interest
"From what I’ve read, your company stands out for [unique aspect: innovation, company culture, impact]. One thing that caught my attention was [specific initiative or milestone] & I’d love the opportunity to contribute to something similar"

✔️ Aligns your goals with the company’s vision
"I’ve been following your company’s growth & I truly respect how you [mention key values, industry influence, sustainability efforts, etc.]. The way you [specific company approach] aligns with my own professional goals & I’m excited about the potential to be part of your team"

Take a few minutes to research before your interview, check their website, social media, recent news & LinkedIn updates. A well-prepared candidate always stands out!

𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬😍

- Artificial Intelligence (AI)
- Internet Of Things (IoT)
- Machine Learning (ML)
- Data Science

🌟 Globally Recognized Certification
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  𝐄𝐧𝐫𝐨𝐥𝐥 𝐟𝐨𝐫 𝐅𝐑𝐄𝐄 👇:-

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🎯 Learn. Get Certified. Shine Bright!🎓✨

𝐀𝐫𝐞 𝐲𝐨𝐮 𝐩𝐫𝐞𝐩𝐚𝐫𝐢𝐧𝐠 𝐟𝐨𝐫 𝐒𝐐𝐋 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬? 😍

Don’t miss these top SQL questions recently asked by leading companies!

Top 45 SQL Interview Questions & Answers

𝐋𝐢𝐧𝐤👉:- https://bit.ly/4iH0Z3K

Start practicing today and stand out from the competition! 💻

Data Analytics Skills

The most important thing data analysts do is to understand the business requirements.

(1) Gathering Data

This means collecting data from different sources. Many a times this is done in collaboration with data engineers and architects hence usually the data analyst doesn’t have to do a lot in this.

(2) Cleaning Data

Going through the data and trying to understand it, making corrections where needed such as removing outliers or data that should not be included in the analysis. This step can take a lot of time, but understanding the data is crucial before you start to process it.

(3) Processing data

The data processing part of the process is where I use my skills and tools to analyze the work and come up with solutions for the problem at hand.

(4) Creating reports for business leaders

As an analyst, a lot of my time goes into creating and maintaining reports/dashboards for stakeholders and business leaders. This means showing the metrics and KPIs in the best manner possible to help drive business decisions.

The best analysts are those that can use data to tell a story.

(5) Collaborating with people

This one is my favorite! As a data analyst, you work with many people across departments, both senior and junior. You’ll also likely collaborate closely with other people who work in data science like data architects and database developers.

Tools I use: Excel,PowerBI,SQL and Python(sometimes)

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https://t.me/dataanalysisresourcestp

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More Resources Here👇
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R

Choosing the right Chart for your Data

𝐀𝐈 & 𝐌𝐋 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐅𝐫𝐨𝐦 6 𝐓𝐨𝐩 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐢𝐨𝐧𝐬!😍

Explore these 6 amazing courses offered by the Government of India, Google, Harvard, MIT, and IBM.

Gain hands-on knowledge in Generative AI, Python, Machine Learning, and AI’s impact on business strategy—all at no cost.

Plus, you’ll earn certificates to boost your resume!

𝐋𝐢𝐧𝐤 👇:- 
 
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Enroll For FREE & Get Certified 🎓

Excel Functions