Data Analytics 101

This program is for you if you feel like you’re drowning in data and unsure which data to use to drive your company's initiatives.

 

The truth is, the amount of data available to help run your business is greater than ever before. To effectively use this information, managers must consider the practical side of big data…what matters to you is how do you grow and build a team to make smarter decisions.

 

Much of the information out there just discusses the promise of the data deluge. The challenge is not the volume of data but rather the judgment needed to use it.

Big Data Analytics 101 is a training goes beyond the qualitative side of data analysis to explore proven quantitative techniques and technologies for identifying, inventorying and integrating data, so that more informed and reliable business decisions can be made. This course teaches the importance of Big Data and Analytics to business and how it will uplift professional career.

 

This course is also for those who have little to no analytics background. This course will start with different introductory topics to help the attendees to build a strong foundation and deep understanding in the culture of analytics.

1/2
ASK TO TAKE
THIS TRAINING HERE

This program is for you if you feel like you’re drowning in data and unsure which data to use to drive your company's initiatives.

The truth is, the amount of data available to help run your business is greater than ever before. To effectively use this information, managers must consider the practical side of big data...what matters to you is how do you grow and build a team to make smarter decisions.

Data Analytics 101 is a training goes beyond the qualitative side of data analysis to explore proven quantitative techniques and technologies for identifying, inventorying and integrating data, so that more informed and reliable business decisions can be made. This course teaches the importance of Big Data and Analytics to business and how it will uplift a professional career.

This course is also for those who have little to no analytics background. This course will start with different introductory topics to help the attendees to build a strong foundation and deep understanding of the culture of analytics.

COURSE OVERVIEW

Learning Session Objectives: 

  • Apply Best Techniques and Cutting Edge Technologies to *Organize, Interpret, and Summarize Quantitative Data.

  • Create a Process to Analyze Data and Identify Patterns Not *Apparent at First Glance.
     

 

In this session, your organization will be able to use:

  • Specific skills to effectively frame the problem you’re addressing to uncover key opportunities and drive growth

  • Critical marketing steps of orientation necessary before engaging tools and technology

  • Strategies to simply and quickly amplify decision making by separating the signal from the noise

  • A framework for asking the right questions, allowing the ability to link analytics to business strategy

In this session, your participants will be able to:

  • Bring out patterns in data that were not apparent at first glance

  • Identify and explain tools for data analysis

  • Shorten the time between analysis and action to avoid “analysis paralysis”

  • Know how to get from hard data to well-reasoned conclusions

  • Understand the entire Data Value Chain from data collection to data visualization


Who Should Attend: All business professionals who need the basic tools to quantitatively and accurately analyze the mountains of data that come across their desk each minute of every day. Managers of analysts or staff who spend a significant amount of their time collecting, analyzing and reporting data.
 

Too often people dive into the data only to be lost in a haze of data. This discussion will be pragmatic and immediately applicable to analysts, professional using analytics and managers of analysts across all industries.

ASK TO TAKE
THIS TRAINING HERE
  • Facebook Social Icon
  • meetup-com-logo
  • LinkedIn Social Icon
  • Google+ Social Icon
  • YouTube

© 2019 by Sonic Analytics

SONIC

ANALYTICS