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Big Data Ingestion and Analysis

Course Name Big Data Ingestion and Analysis
Schedule April 5, 2019 - April 6, 2019

Friday - Saturday

9:00 am - 5:00 pm

Price: Php 12,800
Description

With Social Media, Search Engines and IoT devices being a part of human life, the size of Data being stored in databases inside and outside your organizations continue to grow exponentially. Enterprises will need to harness the power of this “Big Data” in order to remain competitive and ensure that all decisions made are truly data-driven. 

This is an overview course to understand the most popular tools and techniques in ingesting and analyzing Big Data. By the end of the course, you should be equipped with the basic tools to start your decision-making journey using Big Data Analysis. This 2-day program combines the theory of Big Data as well as hands-on exercise with tools such as SQL and Python.

Required Laptop Requirements: Windows or Mac with Microsoft Excel or a similar Spreadsheet software

Objectives

After the course, you will be able to:

1. Identify value of the new way of Data Analytics vs. Traditional Statistical Approaches;

2. Provide a working knowledge on current Data Manipulation Tools and Techniques using SQL; and

3. Demystify and provide the context and need for Data Science and Data Scientists.

Who should attend

This course is aimed at those who want a mid-level appreciation and practice of Big Data Manipulation and Analysis. Ideal Audience includes Data Analytics practitioners and Managers of Data Analytics Practitioners in the field of:

1. Marketing and Sales

2. Finance

3. Business Analysis or Consumer Market Knowledge

4. HR

5. Government

Outline

I. Big Data and Big Data Ingestion

A. The Value of Data Analysis

1. Accessibility of Data

2. Understandability of Data

3. Actionability of Data

4. Focus on Data Directed Decision Making 

B. Types of Data

1. Big Data vs Small Data

2. Vs of Big Data

C. Choosing between the traditional Statistical Approach vs Data Analytics

D. Describing the Data Flow

E. Data Ingestion Definition

F. Data Ingestion Methodology

1. Data Manipulation using SQL Exercises

II. Big Data Analytics

A. Data Analytics

1. Types of Data Analytics – Descriptive, Prescriptive, Predictive (Python)

2. Application Samples of Data Analysis

3. Visualization Options

B. Demystifying Data Science 

C. Data Science in Practice

Resource Speakers
Mr. Mario R. Domingo

is the Founder of Neural Mechanics, a deep-learning solutions company headquartered in Singapore. He is responsible for helping client companies transform their businesses by focusing on their customers using deep-learning in enterprise architecture. He is also the Program Director for the Diploma in Applied Project Management at the Ateneo Center for Continuing Education.

Prior to this, he spent 10 years at Globe Telecom, Inc. where he led the business transformation, product design and creation, and the enterprise discipline in project management. He spent 19 years in programs and projects for defense, telecommunications, automotive, and information technology.

Mr. Domingo has a Bachelors degree in Business Administration, Major in Finance, and a Masters degree in Finance and Applied Economics from the University of Southern California, USA.