Data Analytics with Qlik Sense

The Business Intelligence (BI) – one of the key components of Data Analytics landscape has been valued at USD 20.516 billion in 2019 and is expected to reach USD 40.50 billion by 2025, at a CAGR of 12% over the forecast period 2020 – 2025. This trend is expected to increase steadily, along with the advancement of technology and growing investments, during the forecast period.

Today, data analysts are among the most sought-after job roles across countries. Every industry, be it banking, finance and insurance, retail, pharma, healthcare, manufacturing, information technology, or telecommunication, has opened its doors for data analytics professionals. Evidently, more aspirants are now taking data analytics training to upskill themselves and make the most of the job opportunities available in the market.

Learn Qilk Sense data analytics platform that sets the benchmark for a new generation of analytics. With its one-of-a-kind associative analytics engine, sophisticated AI, and high performance cloud platform, you can learn to create a truly data-driven analytics.

Data Analytics with Qlik Sense

The Business Intelligence (BI) – one of the key components of Data Analytics landscape has been valued at USD 20.516 billion in 2019 and is expected to reach USD 40.50 billion by 2025, at a CAGR of 12% over the forecast period 2020 – 2025. This trend is expected to increase steadily, along with the advancement of technology and growing investments, during the forecast period.

Today, data analysts are among the most sought-after job roles across countries. Every industry, be it banking, finance and insurance, retail, pharma, healthcare, manufacturing, information technology, or telecommunication, has opened its doors for data analytics professionals. Evidently, more aspirants are now taking data analytics training to upskill themselves and make the most of the job opportunities available in the market.

Learn Qilk Sense data analytics platform that sets the benchmark for a new generation of analytics. With its one-of-a-kind associative analytics engine, sophisticated AI, and high performance cloud platform, you can learn to create a truly data-driven analytics.

About the Course

This course of study is designed to transition your skills into a deep understanding of Qlik Sense application development. This course will help you enable to solve business problems and improve operations. In 5-week, duration of this course, you will master the development of dashboards from published reports, discover better insight from the data, & create practical recipes on the various tasks that you can do with Qlik Sense. Our hands-on approach helps you arrive at your goals faster, with more confidence, and at your own pace.

With this course, you will be able to enhance your employability skills. This will help you provide exposure to the industrial environment, which cannot be simulated in the classroom and hence will help in creating competent professionals for the industry.

MachineLearning

Data Analytics with Qlik Sense

Unlock the true powers of your data with interactive data visualizations, self service solutions and game changing writeback capabilities.

Beginner Friendly Course | 15 Lessons | Final Project |5 weeks duration | 40 hrs live sessions

₹11999

₹7999

Key Highlights

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Industry Mentor Support

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Certification Guidance

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Hands on Training and Live sessions

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Career essential soft skills program

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Student Support

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Virtual learning Platform – Gamified LMS

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Live Interaction with Technology Team

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Dashboard and Progress Reports

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Exposure to latest technological developments

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Periodic Skill Assessment for gaps Identification

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Experiential Learning

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Flexible schedule

Course Curriculum

Skills Covered

Qlik Sense Desktop

Data Analysis

Data Modeling

Data Forecasting

Data Management

Data Visualization

Client Management Skills

Integration with ML

Business Verticals and Industry Use cases

Interested in this course?

Who all can apply for this course?

  • Anyone who is passionate to learn and enhance skills in data analytics
  • IT/ Non-IT Professionals working in corporate 
  • College Graduates
  • BI Professionals
  • Project Managers
  • Engineers from all branches – including Civil. Mechanical, Electrical, Agriculture
  • MBA and BBA Students from all specializations