Ambeone Newsletter – Data Scientists Today!

Can you be a part of the Big Data Trend?

Absolutely!

According to LinkedIn Global the 2nd top skills of 2016 was Statistical and Data Analysis. A Data Analyst’s job description is to analyzes data and to convert that data into information and insights which helps with making better business decisions. These decisions could be in Marketing, Finance or any other functionality and could range from customer’s segments and target, to what pricing and promotions to offer, and even in deciding which markets to enter.

Companies Using Big Data

For a data analyst, it is not enough to just work with numbers, but also be able to understand and communicate the readings behind the numbers. So, do you have the skills to get into this emerging and lucrative career of Data Analyst?

There are  Six Main Skills needed for being a good Data Analyst. Go ahead and check which ones you already have and which ones you need to acquire to become a great Data Analyst and excel in today’s data-driven world.

1. Curiosity: Data Analysis look for the “why” behind numbers. Are you able to analyses, compare and go beyond the surface –not just the numbers but any situation, problems. Are you curious to know more?
2. Critical Thinking: Are you able to think clearly and objectively based on reasons and understand the logical connection between the ideas. Critical thinkers’ questions ideas and assumptions objectively but systematically rather than accepting them at face value.
3. Attention to Detail: Are you able to work with attention to detail i.e. thoroughly and accurately when accomplishing a task with all concerns involved.
4. Strategic Perspective: While data analysts have to mine data they should have the ability to think about the big picture. They should keep the end goal in mind and decide what is most relevant to the current project and how to apply them correctly.
5. Story Telling and Communication Skills –The future of analytics is in Data Story Tellers- those who have the ability to translate complex numerical intricacies into interesting business story. You should have the ability to convert data into something simple that people can trust and take action on.
6. Business Know How – Analysis of data and insights can be meaningful only if they can be applied to your business situations. You do need to have strong understanding of business and domain expertise to use data analysis for identifying relevant opportunities and threats for your business success.

Do not lose heart if you do not have some of them as most of these skills can be learnt through training and practice.

We now know that the world is adopting Big Data, so what is stopping you?

Case Study Sample

Ambeone provides Big Data Analytics training course with R-Languae and Data Interpretation to make you an industry expert!
A sample of our case study related to the UAE (MENA a& GCC Region)

Analyzing Dubai’s School’s Rating

Using Advanced Data Manipulation Techniques & Interactive Graphical  visualization based on Big Data Analytics Solutions Issue I: Dubai School Performance Ratings and Fee Structure

Data from KHDA (Knowledge and Human Development Authority) was downloaded which included massive data for all schools in Dubai with the following attributes:
• Syllabus Type
• Year of Establishment
• Fees structure
• Annual ratings by KHDA

We analyzed trends, determine correlations & make predictive models on the following variables. Based on this data , we applied advanced data analytics techniques using R language and techniques to conduct some interesting analysis.

This analysis will be useful for all parents wishing to ensure high quality education for their children as well as School Management, business and investors in the field of Education.

We used DPLYR for Data Manipulation, TITYR for Data Cleaning and Data Structuring, GGVIS, GGPLOT, PLOTLY for Advanced Graphical Visualizations (3D and Interactive Graphs), READR, LUBRIDATE, etc.