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Digital Sales Agent Needes at M-jenzi.com
Part-time Role
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Part-time Role
Location: Nairobi, Kenya
Application Deadline: 14th, November
Apply Here:
https://kenyatrends.co.ke/digital-sales-specialist-job-at-m-jenzi-nairobi/
KenyaTrends.co.ke
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π°Do you have a project idea to make that difference?
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MillenniumFellowship
Apply | Millennium Fellowship
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Salary Range: Peek benchmarks annual salary based on market ranges per jurisdiction. A selection of our salary ranges for this role are as follows:
3,430,000 - 4,237,000 KES per annum, based on Kenya jurisdiction.
2,530,000 - 3,127,000 PKR per annum, based on Pakistan jurisdiction.
558,000 - 689,000 ZAR per annum, based on South Africa jurisdiction.
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46,000 - 57,000 GBP per annum, based on UK jurisdiction.
51,000 - 63,000 EUR per annum, based on Spain jurisdiction.
KenyaTrends.co.ke
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Cloud Support Associate Internship - February 2025 start, Support Engineering
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Nairobi, Kenya
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Reddit Finally Becomes Profitable for the first time in about 20 years.
Redditβs revenue grew by an impressive 68% compared to the previous year.
Read More:
https://tinyurl.com/c4c6umh2
Redditβs revenue grew by an impressive 68% compared to the previous year.
Read More:
https://tinyurl.com/c4c6umh2
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Kenya Trends - News . Entertainment . Job Alerts
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HOW TO LEARN POWER BI IN 2024 ππ
πΊGet Familiar with Basics: Start by understanding the basics of Power BI, such as data sources, data modeling, and visualization concepts.
πΊInstall 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.
πΊExplore Sample Data: Use sample datasets provided by Power BI to practice creating visualizations and getting comfortable with the interface.
πΊLearn Data Loading: Understand how to import data into Power BI from various sources, including Excel, databases, and online services.
πΊData Transformation: Learn the process of cleaning and transforming data using Power Query to ensure it's suitable for analysis.
πΊData Modeling: Grasp the fundamentals of data modeling, including relationships between tables, creating calculated columns, and measures.
πΊCreate Visualizations: Practice creating different types of visualizations like charts, tables, and maps to represent your data effectively.
πΊMaster 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.
πΊBuild Dashboards: Combine visualizations into interactive dashboards to convey insights effectively. Understand how to use filters and slicers.
πΊPublish to Power BI Service: Explore Power BI Service, where you can publish your reports and share them with others. Learn about collaboration features.
πΊExplore Advanced Features: Dive into advanced features like Power BI Apps, Power Automate integration, and Power BI Embedded for more sophisticated applications.
πΊStay 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.
ππ§ Remember, consistent practice and real-world projects will enhance your skills. Utilize online resources, tutorials, and documentation provided by Microsoft to deepen your understanding.
More Daily Resources:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Telegram:
https://t.me/TechPsyche
πΊGet Familiar with Basics: Start by understanding the basics of Power BI, such as data sources, data modeling, and visualization concepts.
πΊInstall 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.
πΊExplore Sample Data: Use sample datasets provided by Power BI to practice creating visualizations and getting comfortable with the interface.
πΊLearn Data Loading: Understand how to import data into Power BI from various sources, including Excel, databases, and online services.
πΊData Transformation: Learn the process of cleaning and transforming data using Power Query to ensure it's suitable for analysis.
πΊData Modeling: Grasp the fundamentals of data modeling, including relationships between tables, creating calculated columns, and measures.
πΊCreate Visualizations: Practice creating different types of visualizations like charts, tables, and maps to represent your data effectively.
πΊMaster 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.
πΊBuild Dashboards: Combine visualizations into interactive dashboards to convey insights effectively. Understand how to use filters and slicers.
πΊPublish to Power BI Service: Explore Power BI Service, where you can publish your reports and share them with others. Learn about collaboration features.
πΊExplore Advanced Features: Dive into advanced features like Power BI Apps, Power Automate integration, and Power BI Embedded for more sophisticated applications.
πΊStay 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.
ππ§ Remember, consistent practice and real-world projects will enhance your skills. Utilize online resources, tutorials, and documentation provided by Microsoft to deepen your understanding.
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π Data Engineer: Tailored for Data Enthusiasts
1. Data Ingestion: Acquire proficiency in data handling techniques.
2. Data Validation: Master the art of data quality assurance.
3. Data Cleansing: Learn advanced data cleaning methodologies.
4. Data Standardisation: Grasp the principles of data formatting.
5. Data Curation: Efficiently organise and manage datasets.
π Data Scientist: Suited for Analytical Minds
6. Feature Extraction: Hone your skills in identifying data patterns.
7. Feature Selection: Master techniques for efficient feature selection.
8. Model Exploration: Dive into the realm of model selection methodologies.
π Data Scientist & ML Engineer: Designed for Coding Enthusiasts
9. Coding Proficiency: Develop robust programming skills.
10. Model Training: Understand the intricacies of model training.
11. Model Validation: Explore various model validation techniques.
12. Model Evaluation: Master the art of evaluating model performance.
13. Model Refinement: Refine and improve candidate models.
14. Model Selection: Learn to choose the most suitable model for a given task.
π ML Engineer: Tailored for Deployment Enthusiasts
15. Model Packaging: Acquire knowledge of essential packaging techniques.
16. Model Registration: Master the process of model tracking and registration.
17. Model Containerisation: Understand the principles of containerisation.
18. Model Deployment: Explore strategies for effective model deployment.
More tips & learning resources here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
π Data Engineer: Tailored for Data Enthusiasts
1. Data Ingestion: Acquire proficiency in data handling techniques.
2. Data Validation: Master the art of data quality assurance.
3. Data Cleansing: Learn advanced data cleaning methodologies.
4. Data Standardisation: Grasp the principles of data formatting.
5. Data Curation: Efficiently organise and manage datasets.
π Data Scientist: Suited for Analytical Minds
6. Feature Extraction: Hone your skills in identifying data patterns.
7. Feature Selection: Master techniques for efficient feature selection.
8. Model Exploration: Dive into the realm of model selection methodologies.
π Data Scientist & ML Engineer: Designed for Coding Enthusiasts
9. Coding Proficiency: Develop robust programming skills.
10. Model Training: Understand the intricacies of model training.
11. Model Validation: Explore various model validation techniques.
12. Model Evaluation: Master the art of evaluating model performance.
13. Model Refinement: Refine and improve candidate models.
14. Model Selection: Learn to choose the most suitable model for a given task.
π ML Engineer: Tailored for Deployment Enthusiasts
15. Model Packaging: Acquire knowledge of essential packaging techniques.
16. Model Registration: Master the process of model tracking and registration.
17. Model Containerisation: Understand the principles of containerisation.
18. Model Deployment: Explore strategies for effective model deployment.
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Data Structures and OOP with C++ : CS104, CS105 Masterclass - Udemy Free Course - Kenya Trends
Welcome to our CS104, C105 Masterclass! In this class, we will dive into the world of Data Structures and Object-Oriented Programming (OOP) using the popular
DOGE Hackathon
Join us for an exciting event where we dive into the potential of a groundbreaking technology designed to elevate productivity and efficiency in government servicesβxAI's Grok.
π Revolutionize Government Efficiency with xAI & Grok: Embrace the Future of Public Service.
β‘οΈ Build intelligent tools to streamline government processes, cut costs, and drive impactful change.
π€ Harness the power of Grok, xAIβs advanced AI model, to automate tasks and empower citizens.
π Collaborate with innovative developers and create solutions that reshape public administration.
π Register now and be part of the movement for a leaner, smarter government!
https://lablab.ai/event/doge-ai-hackathon
More Hackathon Updates Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Join us for an exciting event where we dive into the potential of a groundbreaking technology designed to elevate productivity and efficiency in government servicesβxAI's Grok.
π Revolutionize Government Efficiency with xAI & Grok: Embrace the Future of Public Service.
β‘οΈ Build intelligent tools to streamline government processes, cut costs, and drive impactful change.
π€ Harness the power of Grok, xAIβs advanced AI model, to automate tasks and empower citizens.
π Collaborate with innovative developers and create solutions that reshape public administration.
π Register now and be part of the movement for a leaner, smarter government!
https://lablab.ai/event/doge-ai-hackathon
More Hackathon Updates Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
lablab.ai
[Recap] DOGE Hackathon | lablab.ai
Explore the recap of DOGE Hackathon. Browse winning projects, submissions, and results from this free AI hackathon on lablab.ai.