Switch to a Career in Data Analytics

Start earning from ₱60,000 remotely

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By Qmarketing

Beginner-friendly

Top-tier mentors and experts

Job guarantee

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

*According to similarweb.com, refocus.me is no. 1 website in the Philippines as to the traffic increase coefficient in August 2022.
№1 Digital Courses in 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:

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
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

Success stories

Вenjamin Cabalona
Speaker

“Hello, I’m Benjamin and I’ve been working in a sphere of data analytics for more than 5 years. I used to work at a call center, though. But now I am a Senior Data Analyst in Okada Manila and my life has changed drastically since then.”

₱25,000 per month
Before
₱125,000 per month
After
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

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
The course mentors and consultants
The course mentors and consultants

Course materials

Data Analytics: key skills and career opportunities
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.
Creating reports using Excel
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.

Loading data using SQL
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
Group project 1
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
Calculating business metrics using Power BI
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
Running a Cohort Analysis
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
Group project 2
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.
Analyzing data with Python
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)
Conducting AB-testing with Python
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
Final Project
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.
Starting a Career in Data Analytics
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
Data Analytics: key skills and career opportunities
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.
Creating reports using Excel
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.
Loading data using SQL
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
Group project 1
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
Calculating business metrics using Power BI
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
Running a Cohort Analysis
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
Group project 2
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.
Analyzing data with Python
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)
Conducting AB-testing with Python
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
Final Project
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.
Starting a Career in Data Analytics
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

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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.
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FAQs

Can I join the course without any experience in data analytics?
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.
When do course classes start?
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.
How many hours per week do I need to learn?
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.
Can I complete the modules not in the order in which they are uploaded?
No, you should complete the modules in the right order and do all the assignments before moving on to the next module.
Are there any group activities?
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
TIN 602-900-516-00000
SEC 2021090024799-07

Refocus E-learning Philippines Corp.

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Due date: August 15
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