Data Analytics with Python | Edureka - Top 10 Data Analytics Tools 2024 | Best Tools for Data Analysis | Data Analytics Training | Edureka

🔥Edureka Data Analyst Master's Program: https://www.edureka.co/masters-program/data-analyst-certification This session on Top 10 Data Analytics Tools and Techniques will give you a brief understanding of top tools present in the market of data analysis. The following are the list of tools covered: 1. R and Python 2. Microsoft Excel 3. Tableau 4. RapidMiner 5. KNIME 6. Power BI 7. Apache Spark 8. QlikView 9. Talend 10. Splunk -------------------------------------------------------------------------- 🔴Subscribe to our Edureka YouTube channel to get video updates: https://goo.gl/6ohpTV Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ SlideShare: https://www.slideshare.net/EdurekaIN Castbox: https://castbox.fm/networks/505?country=in Meetup: https://www.meetup.com/edureka/ #edureka #edurekadataanalysis #dataanalyticstools #dataanalyticstoolscomparison #dataanalysis #dataanalyticstutorial #dataanalytics training -------------------------------------------------------------------------- About the Master Program: Data Analytics Masters Program makes you proficient in the tools and systems used by Data Analytics Professionals. It includes in-depth training on Statistics, Data Analytics with R, SAS, and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe. -------------------------------------------------------------------------- Prerequisites: There are no prerequisites for enrollment to the Master's Program. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data Analyst, Masters Program is designed and developed to accommodate various professional backgrounds -------------------------------------------------------------------------- Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.