What is required for big data analytics?
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### Requirements for Big Data Analytics: 1. **Data Sources:** Large volumes of data from various sources like social media, sensors, and databases.2. **Data Storage:** Scalable storage solutions such as Hadoop Distributed File System (HDFS) or cloud storage like AWS S3.3. **Data Processing Tools:**...
read more ### Requirements for Big Data Analytics: 1. **Data Sources:** Large volumes of data from various sources like social media, sensors, and databases.2. **Data Storage:** Scalable storage solutions such as Hadoop Distributed File System (HDFS) or cloud storage like AWS S3.3. **Data Processing Tools:** Technologies like Apache Spark and Hadoop to process and manage large datasets.4. **Data Analysis Tools:** Software for statistical analysis and machine learning, such as R, Python, and SQL.5. **Data Visualization Tools:** Platforms like Tableau, Power BI, or custom dashboards to visualize insights.6. **Infrastructure:** High-performance computing resources and scalable cloud services. ### Summary:Big data analytics requires robust storage, processing, and analysis tools to handle and make sense of large volumes of data. read less
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### Requirements for Big Data Analytics: 1. **Data Sources:** Large volumes of data from various sources like social media, sensors, and databases.2. **Data Storage:** Scalable storage solutions such as Hadoop Distributed File System (HDFS) or cloud storage like AWS S3.3. **Data Processing Tools:** Technologies...
read more ### Requirements for Big Data Analytics: 1. **Data Sources:** Large volumes of data from various sources like social media, sensors, and databases.2. **Data Storage:** Scalable storage solutions such as Hadoop Distributed File System (HDFS) or cloud storage like AWS S3.3. **Data Processing Tools:** Technologies like Apache Spark and Hadoop to process and manage large datasets.4. **Data Analysis Tools:** Software for statistical analysis and machine learning, such as R, Python, and SQL.5. **Data Visualization Tools:** Platforms like Tableau, Power BI, or custom dashboards to visualize insights.6. **Infrastructure:** High-performance computing resources and scalable cloud services. ### Summary:Big data analytics requires robust storage, processing, and analysis tools to handle and make sense of large volumes of data. read less
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Hi, I am looking for a managerial position in health care analytics sector. I have a background of Bachelors in Occupational Therapy and a Masters in Public Health Administration. I have more than 7 years experience of working with public health data, bio-statistics, epidemiological analysis. Currently working as a Sr. Epidemiologist in Hyderabad. I have an expertise in disease forecasting and scientific writing. Please suggest what course I should take up to become an expert in health care analytics domain, so that I can apply for mid level managerial positions. I am currently based at Hyderabad. 
you consider "Healthcare Analytics Certificate Program" by UC Davis. Refer to https://extension.ucdavis.edu/certificate-program/healthcare-analytics-certificate-program
6 I am looking to learn a few skills to become a good freelancer and I am a graduate with no technical qualification, I am not understading which was to proceed or should I learn a few skills
You can opt for a complete Digital Marketing course of 3 to 6 months which will give you in-depth knowledge of the topics. Further, if you want you can also opt for specialization in particular modules like freelancing, lead generation etc.
I want to take online classes on database/ ETL testing. Also i look forward to teach Mathematics/Science for class X-XII
Both are co-related to each other but compare to DBA Jobs, ETL job is more demanding hence you take class for informatica tools and others.
What is the duration of data analytics course?
You can select between a longer course in data science or analytics or a shorter one (ideally 6–8 months) that focuses on data analytics, depending on your objectives. Numerous offline and online...
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