Lesson 1: Data Analytics Road Map

Data

lifeblood of the modern organization

Data

Rather than seeing numbers, we see ________ as the secret sauce that can draw you closer that ever before to your customer -- DataSeer--

Data Analysis

A process of: Inspecting, Cleansing, Transforming, Modelling Data

Inspecting, Cleansing, Transforming, and Modelling Data

Data analysis is a process of __________, __________, __________, and __________

Data Analysis

With the goal of: Discovering useful information Informing conclusion, and Supporting decision-making

Data Analysis

using tools and techniques To turn data into meaningful business insights

Data Analyst

analyzes numeric data and uses it to help companies make better decisions

Data Engineer

involves in preparing data. They develop, constructs, tests, and mantain complete architecture

Data Scientist

analyzes and interpret complex data. They are data wranglers who organize (big) data

Formal Education

Foundation of Data Analytics

Which learning pathways should you take?

- Bachelor/ Master / Doctorate

- Pros: Diploma

- Cons: Expensive. Takes years to complete

Bootcamp

Foundation of Data Analytics

Which learning pathways should you take?

- Pros: Certificate

- Cons: Expensive: Around PHP 30-80K. Takes months to complete.

Paid Training

Foundation of Data Analytics

Which learning pathways should you take?

-Pros: Certificate. Cheaper: 2K to 5K. Takes only weeks or months to complete

- Cons: Sometimes you'll get not good training

Free

Foundation of Data Analytics

Which learning pathways should you take?

- Pros: No cost

- Cons: Unconstructed learning path. Will cost you time to find good contents

1. Learn from FREE Contents

2. Get a PAID TRAINING

3. Deliberate Practice

Continues Improvement

4 Foundations of Data Analytics

Data Preparation

Data Analysis Workflow

The process of profiling, cleaning, and transforming your data to get it ready to model and visualize. Extract Transform Load (ETL), data mining, data transformation, data wrangling, defining new dimensions and measures to meet business needs.

Data Modeling

Data Analysis Workflow

The process of determining how your tables are related to each other. Defining and creating relationships between the table and data normalization.

Data Analysis

Data Analysis Workflow

Exploratory analysis is conducted to profile the data and reveal meaningful patterns, trend, and business insights.

Data Visualisation

Data Analysis Workflow

Bringing the data to life and communicate key insights to business stakeholders and end users.

Software tools of Data Analyst

MS Excel, My SQL, PowerBI, Python, Matplotlib, Data Studio, Tableaue

Learn the Foundation of Data Analytics/ Learn Data Analytics Skills

4 Keys to Become a Data Analyst

Take Google Data Analytics Professional Certificate at Course

Learn Technical Software Skills

4 Keys to Become a Data Analyst

Learn: MS Excel, SQL PowerBI, SQL, and Python at DataSense or on the provider of your choice

Strengthen Your Domain Knowledge/ Build a Good Portfolio

4 Keys to Become a Data Analyst

Build a project(s) base on your domain knowledge

Sales and Retails

Building Portfolio - Project Ideas

More businesses looking for Data Analyst to drive business growth

Personal Finance

Building Portfolio - Project Ideas

The closest domain knowledge to you as you earned and spent money. Can be upgraded to Cash Flow Analytics

HR Analytics

Building Portfolio - Project Ideas

Rich in Segmentation or Dimensions

Corporate Project based on your Domain Knowledge

Building Portfolio - Project Ideas

This will help you to build a up and running real-world project

Applicant Tracking Systems (ATS)

__________ friendly Eye-Catching CV

Situation, task, Action, Results (STAR)

_________ Interview Techniques

situation

STAR Interview Techniques

Describe the __________ you were in

task

STAR Interview Techniques

Explain your _________ or responsibility in that situation

action

STAR Interview Techniques

Describe the _________ how your accomplish the task

result

STAR Interview Techniques

State the impact _________ of your actions

WHO we are

Business Marketing Concept

Applied in our guide on how to become a Data Analyst Roadmap

Learn the foundation, data analytics skills, technical software skills: Excel, SQL, PowerBI, Python, and strengthen your domain knowledge.

WHAT we do

Business Marketing Concept

Applied in our guide on how to become a Data Analyst Roadmap

Don't tell, SHOW! Show what you can do. Show what you can bring to their table by means your portfolio and up and running projects.

WHY you will choose us

Business Marketing Concept

Applied in our guide on how to become a Data Analyst Roadmap

Sell your skillset, Use STAR interview technique to win your high-paying dream job.