Course Provider
What will you learn in this Data Visualization & Analytics Course?
In this Data Science course, you will learn –
- The program begins with a building block of Data Analytics that sets the essential foundation of quantitative and basic programming concepts required for candidates from non-technical backgrounds.
- The program further dwells into data manipulation, analytics, and visualization using Excel-VBA, SQL, and Power BI.
Data Visualization & Analytics
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Skill Type
Emerging Tech -
Domain
Artificial Intelligence -
Course Category
Deepskilling Course -
Certificate Earned Joint Co-Branded Participation Certificate
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Nasscom Assessment NA
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Course Covered under GoI Incentive
No -
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Course Price
INR 25,000 -
Course Duration
172 Hours
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Why should you take this Data Visualization & Analytics Course?
- This advance Excel training is designed to help you become a successful Data Analyst and is highly recommended for aspirants who are just starting their career in Analytics.
- This power-packed advance Excel course will teach you how to make insightful dashboard, and SQL through a strong focus on case studies to ensure hands-on learning.
- Once armed with the much-needed skills with this advanced Excel course, you will also learn the powerful data visualization tool Power BI to present your analysis.
Who should take this Data Visualization & Analytics Course?
- Candidates from various quantitative backgrounds, who are not just looking for advance Excel training.
- People who want to learn job-oriented Analytics & Reporting skills using MS Excel, SQL, and Power BI.
Curriculum
This course is divided into 3 broader modules containing:
- Building blocks – to introduce fundamentals of analytics
- Data Visualization & Analytics certification – includes Excel, SQL and Power BI
- Introduction to GenAI
Tools you will learn in this Data Visualization & Analytics Course
- Excel
- SQL
- Power BI
FAQs
Yes, an industry-recognized certification that will back your knowledge helps immensely. Data Science is not something you can learn in a day. Having proper accreditation ensures that you know all the core fundamentals of being a Data Scientist and leverage it for actionable business outcomes. It simply enhances your job prospects by manifolds.
You must have a quantitative background, and you must have sound logical reasoning. A degree in Engineering, Mathematics, Statistics, or Economics and proper knowledge in SQL queries and other programming languages will help you acquire analytics skills faster. However, our course in Data Science welcomes novices, and we will teach you everything from scratch. Follow our course curriculum to know how you can get started.
Business analysts require several technical and soft skills. Technical skills include data mining, statistical analyses, machine learning techniques, and analytics tools, like Python, SQL, Tableau, etc., and soft skills include communication and business reasoning.
As part of the course, students get weekly assignments and module-wise case studies. The certificate shall be awarded once all your submissions are received and evaluated well (without any plagiarism) within the stipulated time period. Without fair submissions and evaluation of the assignments and projects, a certificate shall be issued.