Data Analytics With Excel Full Course | Data Analytics Full Course | Data Analytics | Simplilearn
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In this Data Analytics with Excel full course, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications.
Dataset Link - https://drive.google.com/drive..../folders/1U8CF0Xx3Ni
00:00:00 Functions and Formulas
03:39:13 Conditional Formatting
04:19:27 Data Validation
06:55:57 Pivot chart & Pivot Table
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This 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 and 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. Through this Data Analytics course, those with a basic understanding of mathematical concepts will be able to complete the course and become an expert in data analytics. 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?
By 2020, the World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties 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 a 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
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