Hey everyone! I'm hosting an exclusive 40-60 min Power BI demo session this weekend! Whether you're a beginner or looking to sharpen your skills, this session will give you a hands-on introduction to Power BI and its powerful data visualization capabilities.
🔹 What’s in it for you? ✅ Live demo of Power BI in action ✅ Essential concepts & real-world applications ✅ Interactive Q&A to clear your doubts
💡 Interested? Register now using the link below! Also, let me know your preferred time—I'll schedule the session based on when most people are available.
📢 Spread the word! Feel free to share this with your friends, colleagues, and anyone who might benefit. See you there! 🚀 Kindly make sure of the timing with AM or PM.
Skillset for Data Analytics (Data Manipulation & Analysis Tools) -
1. SQL - For querying databases & managing data.
2. Excel - For data organization, basic analysis & reporting.
3. Python/R - For advanced statistical analysis, data manipulation (with libraries like Pandas, NumPy) & data visualization (libraries like Matplotlib, Seaborn).
4. Power BI/Tableau - For creating dashboards & visualizing data insights.
5. Data Warehousing - Data storage systems (eg Cloud platforms like AWS, Azure, GCP).
6. ETL Processes - Extract Transform Load processes for moving & transforming data between systems.
7. Version Control Systems - Familiarity with Git/Github to version control & collaboration.
8. Communication Skills - Ability to explain findings to both technical & non technical stakeholders.
- Process of analyzing data to gai insights and make predictions. - Process of examining, cleaning, transforming & modelling data to discover useful information, draw conclusions & support decision making. - Involves various techniques, tools & algorithms to analyze raw data in order to identify trends, patterns & insights that can help businesses or individuals make informed decisions.
Saumya_Codes
🚀 Join My Free Power BI Demo Session! 📊✨
Hey everyone! I'm hosting an exclusive 40-60 min Power BI demo session this weekend! Whether you're a beginner or looking to sharpen your skills, this session will give you a hands-on introduction to Power BI and its powerful data visualization capabilities.
🔹 What’s in it for you?
✅ Live demo of Power BI in action
✅ Essential concepts & real-world applications
✅ Interactive Q&A to clear your doubts
💡 Interested? Register now using the link below! Also, let me know your preferred time—I'll schedule the session based on when most people are available.
📢 Spread the word! Feel free to share this with your friends, colleagues, and anyone who might benefit. See you there! 🚀
Kindly make sure of the timing with AM or PM.
docs.google.com/forms/d/e/1FAIpQLScIquOORnqmdPp959…
11 months ago | [YT] | 2
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Saumya_Codes
Skillset for Data Analytics (Data Manipulation & Analysis Tools) -
1. SQL - For querying databases & managing data.
2. Excel - For data organization, basic analysis & reporting.
3. Python/R - For advanced statistical analysis, data manipulation (with libraries like Pandas, NumPy) & data visualization (libraries like Matplotlib, Seaborn).
4. Power BI/Tableau - For creating dashboards & visualizing data insights.
5. Data Warehousing - Data storage systems (eg Cloud platforms like AWS, Azure, GCP).
6. ETL Processes - Extract Transform Load processes for moving & transforming data between systems.
7. Version Control Systems - Familiarity with Git/Github to version control & collaboration.
8. Communication Skills - Ability to explain findings to both technical & non technical stakeholders.
9. Critical Thinking & Problem Solving
1 year ago | [YT] | 5
View 0 replies
Saumya_Codes
Key Aspects of Data Analytics include -
1. Data Collection - Gathering raw data from various sources such as databases, surveys, sensors or web activity.
2. Data Cleaning - Remove errors, duplicates or irrelevant information to ensure the data is inaccurate and consistent.
3. Data Transformation - Converting raw data into a more suitable format for analysis (e.g. summarizing, aggregating or normalizing data.
4. Data Modelling - Applying statistical methods, algorithms or machine learning models to the data to uncover patterns or make predictions.
5. Data Visualization - Presenting the analyzed data in graphs, charts or dashboards to make it easier to interpret & communicate insights.
1 year ago | [YT] | 4
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Saumya_Codes
Data Analytics -
- Process of analyzing data to gai insights and make predictions.
- Process of examining, cleaning, transforming & modelling data to discover useful information, draw conclusions & support decision making.
- Involves various techniques, tools & algorithms to analyze raw data in order to identify trends, patterns & insights that can help businesses or individuals make informed decisions.
1 year ago | [YT] | 4
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Saumya_Codes
Which of the following is a visualization option in Power BI?
1 year ago | [YT] | 3
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Saumya_Codes
Which of the following is a data transformation feature in Power BI?
1 year ago | [YT] | 4
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Saumya_Codes
Which of the following is a data visualization feature in Power BI?
1 year ago | [YT] | 3
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Saumya_Codes
What is Power BI?
1 year ago | [YT] | 4
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