Google is offering Free Data Analytics courses for everyone 👇





1. Google Data Analytics:



🔗https://lnkd.in/g8J2iNGg





2. Learn Python Basics for Data Analysis



🔗 https://lnkd.in/gk8cG92S





3. Data Analysis with R Programming



🔗 https://lnkd.in/gYa-nuhZ





4. Foundations: Data, Data, Everywhere



🔗 https://lnkd.in/g_N-BmE3





5. Ask Questions to Make Data-Driven Decisions



🔗 https://lnkd.in/gnjHBwWd



6. Process Data from Dirty to Clean



🔗 https://lnkd.in/gUCMaKQk





7. Share Data Through the Art of Visualization



🔗 https://lnkd.in/g9Pt7A36





8. Analyze Data to Answer Questions



🔗 https://lnkd.in/gNgfaegB





9. Get Started with Python



🔗 https://lnkd.in/gXin9RzC





10. Go Beyond the Numbers: Translate Data into Insights



🔗 https://lnkd.in/gBUp5bDh





11. The Power of Statistics



🔗 https://lnkd.in/g8y8rAiH





12. Regression Analysis: Simplify Complex Data Relationships



🔗 https://lnkd.in/gt3hdaRV





13. The Nuts and Bolts of Machine Learning



🔗 https://lnkd.in/g77MWzhr





14. Google Advanced Data Analytics Capstone



🔗 https://lnkd.in/gqb8Xz3J





Happy Learning 🌟



hashtag

#coderbaba

#jobs

#freshersjob

#hiring

#linkedin

#freecourses

#jobs

#jobshiring

#github

#softwareengineering

#freecertification

#DataAnalytics

#DataScience

📊 Exciting news for aspiring Data Scientists! 🚀

Embark on your journey into the realm of data analysis with our latest guide: "SQL For Data Scientists: A Beginner's Guide for Building Datasets for Analysis." 📈💻

In this comprehensive beginner's guide, you'll delve into the fundamentals of SQL, mastering the skills needed to build robust datasets for analysis. Whether you're a seasoned professional looking to enhance your skill set or a newcomer eager to explore the world of data science, this guide is tailored just for you! 🎓✨

Ready to take your first steps towards becoming a data analysis expert? Join us on this exciting adventure! Access the guide now and unlock the secrets of SQL for data scientists. 💡

🔗 Join our Telegram community @coder_baba for more insights, resources, and discussions on data science and programming. Let's learn and grow together! 🌱💬

#DataScience #SQL #BeginnersGuide #DataAnalysis #LearnToCode #DataScienceCommunity #JoinUs #TelegramGroup #CoderBaba #LinkedInLearning

Capgemini Tableau Interview Questions:

1. How do you connect Tableau to different data sources?
2. Explain the concept of data blending in Tableau.
3. How can you optimize Tableau extracts for better performance?
4. What are the different types of joins in Tableau, and when would you use each type?
5. How do you create a dual-axis chart in Tableau?
6. What is the purpose of a calculated field in Tableau, and how do you create one?
7. Explain the difference between a context filter and a normal filter in Tableau.
8. How do you create a parameter in Tableau, and what are its use cases?
9. What is Tableau Server, and how does it differ from Tableau Desktop?
10. How can you handle null values in Tableau?

### Deloitte Tableau Interview Questions:

1. How can you create a dashboard in Tableau?
2. What is the difference between live connection and extract in Tableau?
3. Explain the use of LOD (Level of Detail) expressions in Tableau.
4. How do you create a story in Tableau, and what are its benefits?
5. What is the purpose of the Pages shelf in Tableau?
6. How do you implement row-level security in Tableau?
7. Describe how to use Tableau's data interpreter.
8. How do you schedule data refreshes in Tableau?
9. What is the difference between a bar chart and a Gantt chart in Tableau?
10. How can you customize tooltips in Tableau?

### Accenture Tableau Interview Questions:

1. How do you create a calculated field that uses an IF statement in Tableau?
2. What is the use of Tableau Public, and how does it differ from Tableau Online?
3. Explain the difference between dimensions and measures in Tableau.
4. How do you create a heat map in Tableau?
5. What are table calculations in Tableau, and how do you use them?
6. How can you use the Tableau Prep tool?
7. What is the purpose of the Measure Names and Measure Values fields in Tableau?
8. How do you create a funnel chart in Tableau?
9. Explain how to use filters in a Tableau dashboard.
10. What are some best practices for designing dashboards in Tableau?
https://youtube.com/shorts/W6DpGnlpJWY?feature=share
#dataanalyst #tableau #DataAnalyst
#Tableau
#BusinessIntelligence
#DataVisualization
#Analytics
#DashboardDesign
#InterviewQuestions
#DataScience
#TechInterviews
#CareerGrowth