Big Data Analytics | What Is Big Data Analytics? | Big Data Analytics For Beginners | Simplilearn

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In this Big Data Analytics video, you will see why Big Data analytics is required, what is Big Data analytics, the lifecycle of Big Data analytics, types of Big Data analytics, tools used in Big Data analytics and few Big Data application domains. Also, we'll see a use case on how Spotify uses Big Data analytics. Big Data analytics is a process to extract meaningful insights from Big Data such as hidden patterns, unknown correlations, market trends, and customer preferences. One of the essential benefits of Big Data analytics is used for product development and innovations. Now, let us get started and understand Big Data Analytics in detail.

Below are explained in this Big Data analytics tutorial:
1. Why Big Data analytics? (00:34)
2. What is Big Data analytics? (02:27)
3. Lifecycle of Big Data analytics (10:14)
4. Types of Big Data analytics (12:46)
5. Tools used in Big Data analytics (21:08)
6. Big Data application domains (23:54)

Watch more videos on Hadoop training: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ

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➡️ About Data Analyst Master’s Program
This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Industry-recognized Data Analyst Master’s certificate from Simplilearn
- Dedicated live sessions by faculty of industry experts
- Masterclasses from IBM experts
- Industry-recognized IBM certifications for IBM courses
- Ask-Me-Anything (AMA) sessions with IBM leadership
- Capstone from 3 domains and 20+ projects
- Exclusive hackathons conducted by IBM
- Lifetime access to self-paced learning content
- Program crafted to initiate your journey as a Data Analyst

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis using Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using KMeans
- Supervised Learning
- Unsupervised Learning



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