Webinar | Data Analytics Ecosystem - Dice Analytics

About the Webinar

Join to learn the art & science of data driven decision making, different pillars of Data Analytics Ecosystem, its applications and career opportunities in the corporate world!

Book your Seat

Benefits

– Learn all fundamentals and practical implications
– Get free career advice in Data Analytics domain
– Ask your related queries to professional Data Analyst
– Explore your analytical abilities and decide where you fit in

Schedule

Date: 28th March, 2020

Day: Saturday

Time: 03:00 PM – 04:00 PM

Duration: 1 Hour

Event Lineup

– Interpret how data can be utilized to make decisions
– Define that how data has the ability to solve real-time problems
– Introduce the different layers including Data Warehouse,
Business Intelligence, Data Science and Big Data
– Highlight that how data analytics is future of Pakistan
– Provide insights from national and international industry
– Suggest how to jump start a career in Data Analytics fields

Who should Attend?

C-Suite Employees

Executives who wants to build initial knowledge about the implementation of Data Analytics to enhance the efficiency in operations.

Working Professionals

Professionals from relevant domains who want to enhance their skills in applications of Data Analytics for their career growth.

Entrepreneurs

Entrepreneurs and Founders of start-ups who want to excel and stand-out in competitive market by adopting state of the art technologies.

Career Newbies

People who want to start their career in any of the rising domains of Data Analytics and need a direction to begin with.

Meet the Speaker

Meet the Speaker of this Webinar who is highly experienced in the field!

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Mr. Ali Raza Anjum

Data Analytics Consultant & Trainer - Dice Analytics

Mr. Ali Raza Anjum has more than 10 years of experience in all top telecom companies of Pakistan. His key expertise are in domains of Data Science, Machine Learning, Big Data, Data Mining, Data Prediction, Data Visualization, Data-driven Marketing and Customer Value Management

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