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Get introduced to the world of Data Analytics | Learn the fundamentals of Data Analytics and the key steps in the Data Analytics process | Demonstrate your understanding of gathering, wrangling, mining, analyzing, and visualizing data | Learn in a fun and engaging way
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Learn to build your own projects in a challenging and strategic way to showcase your expertise.
Get constructive, structured, actionable insights to tackle complex analytical problems.
Earn globally recognized Certification on completion of the Data Analytics course.
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The course is designed to launch students into the world of Data Science. This course builds a strong data science foundation. Learn the analytical thinking, data handling decision-making skills of a data analyst. Gain understanding of data analytics, business analytics, graphs & charts, data aggregation, and more.
Know the complete offerings of our Teen MBA Data Analytics Course
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Data Analytics Process
Marketing Strategy
Sales Strategy
Data Visualization
Data Aggregation
Business Analytics
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Yes! Gaining a certification in data analytics will equip you with all of the necessary skills and know-how required to land a job as a data analyst.
The students have the opportunity to gain practical skills on a range of technologically driven integrated tools, analytic toolkits, and platforms. In order to enhance operational procedures and foster innovation, they also learn how to design automated ideal data-driven strategies for the companies or business units.
While data analysts should have a foundational knowledge of statistics and mathematics, much of their work can be done without complex mathematics. Generally, though, data analysts should have a grasp of statistics, linear algebra, and calculus.
Learning from your data gives you the confidence of knowing – not just hoping – that what you're doing works. It lets you know that you're making a real impact in your field, but perhaps more importantly, it offers assurance to the people who are looking for that proof.
Data analysis is neither a “hard” nor “soft” skill but is instead a process that involves a combination of both. Some of the technical skills that a data analyst must know include programming languages like Python, database tools like Excel, and data visualization tools like Tableau.
Your primary goal in a data analyst career is to take large volumes of complex data, extract insights, and help solve problems. Skills you'll need to thrive in a data analytics career are, but not limited to, SQL, Microsoft Excel, critical thinking, and basic programming knowledge.
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