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What is the difference between Data Science and Analytics?
Data science is a field of study, where it involves data collection, data processing, data cleaning, Data manipulation, data visualization, and machine learning. but data analytics only requires some tools like power bi and tableau etc.
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What is difference between Data Science and Big Data?
Data science and big data are related but distinct concepts: 1. **Data Science**: Data science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract insights...
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What are some good data science projects?
There are many interesting data science projects you can undertake, depending on your interests and skill level. Here are a few ideas: 1. Predictive Analytics: Build a model to predict customer churn...
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Trending Lessons in Data Science classes

TOP 10 Tools for Data Science
TOP 10 Tools for Data Science1. Python2. SQL3. R4. Tableau5. PowerBI6. Java7. Julia8. Scala9. SAS10. ExcelTOP 10 Websites for Data Science1. Coursera3. EdX4. Udacity5. Kaggle6. Analytics Vidhya7. KDNuggets8....

4 Key Things to Learn for Data Science
1. Theory:Use Coursera and EdX for theory, concepts, and applications of probability, statistics, linear algebra, calculus, and machine learning.2. Data Visualisation:Tableau and PowerBI are easy-to-use...

What is Time Series?
What is a Time Series? Time Series data is a series of data points indexed or listed or graphed with an equally spaced period. Time series forecasting is the use of the model to predict future values...

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