Switch to a Career in Data Analytics

Start earning from ₱60,000 remotely

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The data on the number of participants is updated every 24 hours. Be sure to get a place on the course before it's all taken.

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Real projects for top companies done in the course

Portfolio

After the course you can get a remote job with ₱60,000 salary

Remote work

Over 100 hours of theory and practice in online classes

8-month course

Consultancy, career advice, and vacancy search from our career center

100% Job guarantee

Beginner-friendly

Job guarantee

Top-tier mentors and experts

№1 Digital Courses in the Philippines

*According to jobstreet.com.ph and indeed.com

from anywhere in the world

Earn up to ₱120,000

Companies are looking for Data Analysts

*

2,000+

The demand for Data Analysts is skyrocketing

Opportunity to make a difference

Interesting and challenging tasks

Work from anywhere in the world

Stable high salary and bonuses

Data Analytics is your path to ambitious goals

per month

This course is for you, if you want to:

Let’s go

Join a highly-paying field full of interesting tasks. You will master data analytics tools, use them in real projects and become an in-demand IT professional.

Start a new
successful career

Start working on projects in the field of data analytics from anywhere in the world. Learn how to use Excel, SQL, Power BI and Python to solve any task.

Work in an international company remotely

Get the skills to do exciting tasks and move up the career ladder! Earn more money and your colleagues’ respect.

Upgrade your skills and get promoted

Perfect environment to start off in Data Analytics

Refocus provides you with relevant practical knowledge that helps you earn.

Money-making skills

Our lecturers are from all over the world: Philippines, Europe and USA.

Qualified teachers

The Refocus program is based on real cases from the Filippino market.

Practice-oriented approach

Course mentors support students and give answers to their questions.

Professional feedback

Spend around 5 – 10 hours a week on studies. You can learn anywhere and anytime.

Flexible learning

Our Career Center helps you find a job and prepare for an interview.

Outstanding Portfolio

Job Guarantee Policy

Our policy

But it won’t be possible without students’ dedication and hard work. That’s why they have to comply with certain demands to land a job with our help:

We are 100% confident in our training and can assure our students of our ability to get them employed.

Follow each step in Career Center process and make required efforts to find a job

Complete all projects and assignments

Complete all the modules within the deadlines

Our Career Center will lead you to a job offer

Vacancies from Refocus partners

Portfolio, CV, and LinkedIn profile review

Mock interviews with HR-managers

Live mentorship with experienced HR-managers

Millicent Singson

“Good day, I’m Millicent! My data analytics and data science journey started with my Bachelor’s degree in Applied Physics from the University of the Philippines. I worked as an ICT Business Analyst in 2018 afterwards, but then I felt ready for a career shift. After upskilling and getting a master degree in data science in 2019, I landed a job that paid 2x of my basic salary. By 2021, I’m earning 3x of my basic salary from back then. I never regretted my decision.”

3x basic salary

After

basic salary

Before

Success story

Get a consultation

Ask our manager any questions about the course

Students from 6 countries

5,000+

Practice

70%

Average score of Refocus lessons

4,9

⭐

The course mentors and consultants

Course materials

Part 1. Introduction
Lesson 1 Live-session: Starting the training. Onboarding
Lesson 2 Live-session: What do Data Analysts do?
Lesson 3 Data Analytics: the nuts and bolts of the field
Lesson 4 Live-session: Goal-setting

Module outcome
At the end of the module, you will have a good grasp of what Data Analysts do and how to meet the market’s requirements. You will develop awareness of the key companies, associations, and influencers on your market.

Part 1. Preparing data with Excel
Part 2. Analyzing data with Excel
Part 3. Visualizing your report
Part 4. Visualizing your report: more techniques

Project topic: Retail Shopping

Module outcome
At the end of the module you will be able to use Excel to:

Process and analyze data
Write formulas to calculate data
Create pivot tables
Perform key operations to filter and group data
Visualize results by choosing the most suitable charts

You will also know the difference between Google Sheets and Excel and will be able to use either programs for creating reports.

Part 1. Querying data with SQL
Part 2. Querying data with SQL
Part 3. Preprocessing data with Excel
Part 4. Visualizing in Excel

Project topic: E-commerce

Module outcome
At the end of the module you will be able to:

write SQL-queries to retrieve meaningful and relevant information from databases
preprocess and clean data with Excel functions
Use a wider range of techniques to visualize results

Part 1. Group activities
Lesson 1 Live-session: Project intro
Lesson 2 Live-session: Group work
Lesson 3 Live-session: Interim results review
Lesson 4 Live-session: Project presentation

Part 1. Querying data with SQL
Part 2. Preprocessing data with Power BI
Part 3. Data calculation: statistics
Part 4. Metrics calculation

Project topic: Banking/Fintech

Module outcome
At the end of the module you will be able to:

use Power Query to import the right data
Using Aggregate functions and Having Clause to compose correct SQL queries
Filter data and remove duplicates in Power BI
Calculate basic statistical values (mean, median, variance, range, etc)
Calculate metrics

Part 1. Cohort analysis: reviewing a case
Part 2. Querying data with SQL
Part 3. Preprocessing data for cohort analysis
Part 4. Performing cohort analysis
Part 5. Visualization in Power BI

Project topic: Electronics/Reviews

Module outcome
At the end of the module you will be able to:

perform a cohort analysis
cleaning data with Power BI like removing nulls or errors, replacing values and filling NaNs
using the basic commands od DAX
visualize results using the features of Power BI

Part 1. Group activities
Lesson 1 Live-session: Project intro
Lesson 2 Live-session: Group work
Lesson 3 Live-session: Interim results review
Lesson 4 Live-session: Project presentation

Module outcome
At the end of the module, you will have a project in your portfolio.

Part 1. Running basic commands in Python
Part 2. Loading data with Python
Part 3. Preprocessing data with Python
Part 4. Analyzing data
Part 5. Visualization with Python
Part 6. Advanced preprocessing data with Python
Part 7. Advanced visualization with Python

Project topic: Finance/Banking/Economy

Module outcome
At the end of the module you will be able to:

write basic commands in Python
connect to remote databases and fetching the right information
preprocessing data in Python
use Pandas, SciPy and NumPy to analyze data
visualize data with Matplotlib and Seaborn libraries
test statistical hypotheses (run T-tests, ANOVA)

Part 1. A/B-testing: reviewing a case
Part 2. Designing the experiment
Part 3. Collecting and preparing data
Part 4. Visualizing and analyzing results
Part 5. Creating a presentation

Project topic: Health

Module outcome
At the end of the module you will be able to:

Conduct A/B tests
Formulate and test hypothesis (one and two-tailed tests, Fisher’s test, Chi-Squared test)
Visualize data with Plotly
Use storytelling methods to visualize and present your result
Create clear and concise presentations

Part 1. Group activities
Lesson 1 Live-session: Project intro
Lesson 2 Live-session: Group work
Lesson 3 Live-session: Interim results review
Lesson 4 Live-session: Project presentation

Module outcome
At the end of the module, you will have a project in your portfolio.

Part 1. Entering the market
Part 2. Finding a job
Part 3. Getting ready for the interview

Module outcome
At the end of the module you will be able to:

Prepare a CV that stands out
Prepare a memorable portfolio
Answer questions from different rounds of Data Analyst interview

Part 1. Introduction
Lesson 1 Live-session: Starting the training. Onboarding
Lesson 2 Live-session: What do Data Analysts do?
Lesson 3 Data Analytics: the nuts and bolts of the field
Lesson 4 Live-session: Goal-setting

Module outcome
At the end of the module, you will have a good grasp of what Data Analysts do and how to meet the market’s requirements. You will develop awareness of the key companies, associations, and influencers on your market.

Part 1. Preparing data with Excel
Part 2. Analyzing data with Excel
Part 3. Visualizing your report
Part 4. Visualizing your report: more techniques

Project topic: Retail Shopping

Module outcome
At the end of the module you will be able to use Excel to:

Process and analyze data
Write formulas to calculate data
Create pivot tables
Perform key operations to filter and group data
Visualize results by choosing the most suitable charts

You will also know the difference between Google Sheets and Excel and will be able to use either programs for creating reports.

Part 1. Querying data with SQL
Part 2. Querying data with SQL
Part 3. Preprocessing data with Excel
Part 4. Visualizing in Excel

Project topic: E-commerce

Module outcome
At the end of the module you will be able to:

write SQL-queries to retrieve meaningful and relevant information from databases
preprocess and clean data with Excel functions
Use a wider range of techniques to visualize results

Part 1. Group activities
Lesson 1 Live-session: Project intro
Lesson 2 Live-session: Group work
Lesson 3 Live-session: Interim results review
Lesson 4 Live-session: Project presentation

Part 1. Querying data with SQL
Part 2. Preprocessing data with Power BI
Part 3. Data calculation: statistics
Part 4. Metrics calculation

Project topic: Banking/Fintech

Module outcome
At the end of the module you will be able to:

use Power Query to import the right data
Using Aggregate functions and Having Clause to compose correct SQL queries
Filter data and remove duplicates in Power BI
Calculate basic statistical values (mean, median, variance, range, etc)
Calculate metrics

Part 1. Cohort analysis: reviewing a case
Part 2. Querying data with SQL
Part 3. Preprocessing data for cohort analysis
Part 4. Performing cohort analysis
Part 5. Visualization in Power BI

Project topic: Electronics/Reviews

Module outcome
At the end of the module you will be able to:

perform a cohort analysis
cleaning data with Power BI like removing nulls or errors, replacing values and filling NaNs
using the basic commands od DAX
visualize results using the features of Power BI

Part 1. Group activities
Lesson 1 Live-session: Project intro
Lesson 2 Live-session: Group work
Lesson 3 Live-session: Interim results review
Lesson 4 Live-session: Project presentation

Module outcome
At the end of the module, you will have a project in your portfolio.

Part 1. Running basic commands in Python
Part 2. Loading data with Python
Part 3. Preprocessing data with Python
Part 4. Analyzing data
Part 5. Visualization with Python
Part 6. Advanced preprocessing data with Python
Part 7. Advanced visualization with Python

Project topic: Finance/Banking/Economy

Module outcome
At the end of the module you will be able to:

write basic commands in Python
connect to remote databases and fetching the right information
preprocessing data in Python
use Pandas, SciPy and NumPy to analyze data
visualize data with Matplotlib and Seaborn libraries
test statistical hypotheses (run T-tests, ANOVA)

Part 1. A/B-testing: reviewing a case
Part 2. Designing the experiment
Part 3. Collecting and preparing data
Part 4. Visualizing and analyzing results
Part 5. Creating a presentation

Project topic: Health

Module outcome
At the end of the module you will be able to:

Conduct A/B tests
Formulate and test hypothesis (one and two-tailed tests, Fisher’s test, Chi-Squared test)
Visualize data with Plotly
Use storytelling methods to visualize and present your result
Create clear and concise presentations

Part 1. Group activities
Lesson 1 Live-session: Project intro
Lesson 2 Live-session: Group work
Lesson 3 Live-session: Interim results review
Lesson 4 Live-session: Project presentation

Module outcome
At the end of the module, you will have a project in your portfolio.

Part 1. Entering the market
Part 2. Finding a job
Part 3. Getting ready for the interview

Module outcome
At the end of the module you will be able to:

Prepare a CV that stands out
Prepare a memorable portfolio
Answer questions from different rounds of Data Analyst interview

Book a consultation

Ask our manager any questions about the course

You can share the course certificate on your LinkedIn profile, on printed resumes, CVs, or other documents.

Refocus Certificate

Begin your journey towards upskilling

Per month

Tuition fee

14-day money-back guarantee

₱

8,717

3,487

₱

The data on the number of participants is updated every 24 hours. Be sure to get a place on the course before it's all taken.

date

Register for the course

Seats left:

Starting date:

%%

June 30

01 : 14 : 12 : 03

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FAQs

It’s not necessary to be an expert in data analytics to enroll in this course. However, if you have some basic understanding of Excel or SQL, it will be an advantage.

You can study anytime you want after the course has started. Just remember that you will get access to each module at a predetermined time.

We encourage our students to devote to the tasks 5 – 10 hours a week to complete the course. There are over 100 hours of lectures. You have about 6 projects, both individual and group ones.

No, you should complete the modules in the right order and do all the assignments before moving on to the next module.

After the course starts, we'll create a channel in Messenger with all the course students included. You will be able to chat with like-minded people and ask questions to your curators there.

✖

Our consultants will contact you

Sign up for the course