Top Data Analytics Tools 2021 | Best Tools For Data Analysis | #Shorts | Simplilearn

This Simplilearn shorts video on Top Data Analytics Tools 2021 will acquaint you with the best tools for data analysis. With data growing at a rapid rate, using data analysis tools is the need of the hour. In this video, we'll cover the top 5 data analysis tools that can help you handle your data efficiently. So, let's get started!

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About Simplilearn Data Analyst Program:
Simplilearn's Data Analyst Master’s Program in collaboration with IBM will make you an expert in data analytics. In this Data Analytics course, you'll learn analytics tools & techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

What are the learning objectives?
Simplilearn’s Data Analyst Master's Program developed in collaboration with IBM will provide you with extensive expertise in the booming data analytics field. This data analytics certification training course will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extracts, and forecasting. Through this course, you will also gain expertise in data visualization techniques using Tableau and Power BI, learning how to organize data and design dashboards. In this data analyst certification online course, a special emphasis is placed on those currently employed in the non-technical workforce. This learning experience melds the knowledge of Data Analytics with hands-on demos and projects via CloudLab. Upon completing this course, you will have all the skills required to become a successful data analyst.

Why become Data Analyst?
Organizations view data analysis as one of the most crucial future specialities due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, the value of data analysts is continuing to grow, creating new job and career advancement opportunities.

Who should take up this course?
Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst Master’s Program, including:
1. IT professionals
2. Banking and finance professionals
3. Marketing managers
4. Sales professionals
5. Supply chain network managers
6. Beginners in the data analytics domain
7. Students in UG/ PG programs