Switch to a Career in Data Science

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Start earning from ₱60,000 remotely
Over 100 hours of theory and practice in online classes

9-month course

Consultancy, career advice, and vacancy search from our Career Center

100% job guarantee

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

Remote work

Individual mentor feedback and homework review

Expert feedback

Data science is your path to ambitious goals

Stable high salary and bonuses

Demand for data scientists is skyrocketing

Companies are looking for data scientists
1000+*
Earn up to
Per month from anywhere in the world
₱120 000*
*According to jobstreet.com.ph and indeed.com
Interesting and challenging tasks
Work from anywhere in the world
Opportunity to make a difference

This course is for you, if you want to:

Join a highly-paying sphere. You will master data science tools, use them in real projects and become an in-demand IT professional.

Start a new successful career

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

Start working on projects in the sphere of data science from anywhere in the world. Learn to use Excel, SQL, Python, Machine Learning to solve any task.

Work in an international company remotely

Perfect environment to start off in data science

Our lecturers
are from all over the world.

Qualified teachers

Course mentors support students and give answers to their questions.

Professional feedback

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

Practice-oriented approach

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

Money-making skills

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

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.

Job Guarantee Policy

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

"We want to give our students decent well-paid jobs. We know this is exactly what every graduate wishes for. That’s why we pay so much attention to it." Roman Kumar Vyas, founder of Refocus

Vacancies from Refocus partners
Mock interviews with HR-managers
Portfolio, CV, and LinkedIn profile review
Live mentorship from experienced HR-managers
Paolo Villena
Career Manager
Paolo Villena Career Manager
Earl Thomas Corregidor III
Career Manager
Earl Thomas Corregidor III

Success stories

Success stories

Success stories

Success stories

Refocus pattern

Вооk a consultation

Ask our manager any questions about the course
average students’ score
4,9
students from 6 countries
5 000+
practical tasks
70%

Course mentors and consultants

Course mentors and consultants

Course mentors and consultants

Course curriculum

Data science: key skills and career opportunities
In the first module, you will dip your toes into the world of data science.

At the end of the module, you will:

  • have a good grasp of what Data Scientists do;
  • understand how to meet the market’s requirements;
  • develop awareness of the key companies;associations, and influencers on your market.
Creating reports using Excel
In this module, you will learn how to create reports in Excel. While working with real practical tasks, you will gradually move from writing basic formulas to creating pivot tables and visualizing the results.

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.
Loading data in Excel
This module is all about querying and loading data using Excel. You will learn to write SQL-queries, preprocessing and cleaning data in Excel.

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
This group project will require the knowledge from previous modules to solve a case of a real client.

At the end of the module, you will have a project in your portfolio.
Analyzing data with Python
In this module you will learn how to use Python for data analysis. You will install Python and Jupyter notebook, learn basic Python syntax, analyze data with Pandas and visualize data with Python visualization libraries.

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
In this module you will learn how to test hypotheses using AB-tests. You will use Python to collect and prepare data for the test and learn how to visualize results.

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.
Introduction to machine learning
In this module you will learn the basics of machine learning and understand how to make your first steps in this direction.

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

  • understand how the scikit-learn library works;
  • how to apply scikit-learn library in your very first machine learning project.
Machine learning in business
In this module you will learn how to apply what you’ve learned to business tasks. Discover business metrics, the bootstrapping technique, and data labeling.
Group project 2
This group project will require the knowledge from previous modules to solve a case of a real client.

At the end of the module, you will have a project in your portfolio.
Machine learning for texts
In this module you will learn how to apply machine learning to text data.

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

  • convert text into numbers;
  • use bag-of-words, TF-IDF, as well as embeddings and BERT.
Computer vision
In this module you will learn how to handle simple computer vision tasks using premade neural networks and the Keras library. You will also have a quick look at deep learning.
Final project
This final project will require the knowledge from all previous modules to solve a case of a real client.

At the end of the module, you will have a project in your portfolio.
Starting a Career in Data Science
In this module you will get prepared for finding a first job in data analytics and growing in your career. You will prepare your CV and practice answering interview questions.

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 scientist interviews.
Ask our manager any questions about the course.

Book a consultation

Get the Refocus Certificate

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

Our students work in:

McKinsey & Company logo
british american tabacco logo
google logo
pwc logo

Begin your journey towards upskilling

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FAQs

Can I join the course without any data science experience?
For this course, it’s not necessary to be a data science expert. But if you have some basic understanding of Excel or SQL, it’s to your advantage.
When do the classes start?
You can study anytime you want after the course has started. Just remember that you will get access to each module at predetermined times.
How many hours per week do I need to learn?
We encourage our students to devote 5 — 10 hours per week to the tasks to complete the course. The lectures are over 100 hours long. You have about 9 projects both individual and group ones.
Can I watch the modules out of order?
No, you must watch the modules in order and do the assignments before moving on to the next module.
Are there any group activities?
After the start, we’ll create channels in messengers with all the students of the course. There you can communicate with like-minded people and ask curators questions.
Get in touch with us:
Refocus E-learning Philippines Corp.
TIN: 602-900-516-00000
SEC: 2021090024799-07
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