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Data Scientist Course in Philippines (85 Courses, 67+ Projects)

85 Online Courses

67 Hands-on Projects

660+ Hours

Verifiable Certificate of Completion

Lifetime Access

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4.8 (16,908 ratings)

 

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Python Data Scientist Courses (18 Courses)

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Python Data Scientist Projects (6 Projects)

3

R Programming Data Scientist Courses (12 Courses)

4

R Programming Data Scientist Projects (11 Projects)

5

SAS Data Scientist Courses (9 Courses)

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Home Data Science Data Science Courses Data Scientist Course in Philippines

What you get in this Data Scientist Course in Philippines?

Online Classes
Technical Support
Mobile App Access
Case Studies

About Data Scientist Course Philippines

CourseNo. of Hours
Machine Learning with Python 20225h 15m
Project on Machine Learning - Covid19 Mask Detector2h 05m
Machine Learning Project - Auto Image Captioning for Social Media2h 23m
Machine Learning with SciKit-Learn in Python8h 37m
Machine Learning Python Case Study - Predictive Modeling8h 27m
Matplotlib for Python Developers - Beginners4h 12m
Matplotlib for Python Developers - Intermediate2h 52m
Matplotlib for Python Developers - Advanced6h 37m
Pandas with Python Tutorial5h 47m
NumPy and Pandas Python5h 01m
Pandas Python Case Study - Data Management for Retail Dataset3h 28m
Python Case Study - Sentiment Analysis1h 06m
Data Science with Python4h 14m
Artificial Intelligence with Python - Beginner Level2h 49m
Artificial Intelligence with Python - Intermediate Level4h 36m
AI Artificial Intelligence with Python6h 15m
Video Analytics using OpenCV and Python Shells2h 13m
Machine Learning using Python3h 26m
Statistics Essentials with Python3h 23m
Project on Tensorflow - Implementing Linear Model with Python1h 46m
Project - Data Analytics with Data Exploration Case Study5h 7m
Project on ML - Random Forest Algorithm1h 29m
Seaborn Python - Beginners2h 28m
Seaborn Python - Intermediate1h 18m
Seaborn Python - Advanced1h 56m
PySpark Python - Beginners2h 3m
PySpark Python - Intermediate2h 05m
PySpark Python - Advanced1h 14m
Machine Learning Python Case Study - Diabetes Prediction1h 03m
R Studio UI and R Script Basics4h 9m
R Programming for Data Science | A Complete Courses to Learn5h 7m
R Practical - Logistic Regression with R4h 18m
Project - Decision Tree Modeling using R1h 44m
Project on ML - Churn Prediction Model using R Studio1h 22m
Financial Analytics in R - Beginners3h 5m
Financial Analytics in R - Intermediate1h 28m
Financial Analytics in R - Advanced1h 35m
R for Finance - Beginners to Beyond2h 17m
Comprehensive Course on R3h 54m
Project on R - Forecasting using R4h 34m
Project - Fraud Analytics using R & Microsoft Excel2h 34m
Project - Marketing Analytics using R and Microsoft Excel2h 9m
Machine Learning with R20h 28m
Case Study - Customer Analytics using Tableau and R2h 7m
Case Study - Pricing Analytics using Tableau and R2h 39m
Business Analytics using R - Hands-on!16h 21m
Project - Market Basket Analysis in R37m
Project - Hypothesis Testing using R3h 6m
Data Visualization with R Shiny - The Fundamentals39m
Data Science with R6h 2m
R Studio Anova Techniques Course2h 18m
SAS Business Analytics for Beginners10h 42m
Predictive Modeling with SAS Enterprise Miner9h 21m
Quantitative Finance with SAS3h 29m
SAS Statistics8h 18m
SAS ODS (Output Delivery System)9h 08m
SAS PROC SQL13h 49m
SAS Macros7h 38m
SAS Advanced Analytics12h 34m
SAS Graph2h 1m
SAS DS25h 2m
SAS SQL3h 03m
SAS Practical - Macros5h 12m
SAS Advanced Programming11h 24m
SAS Categorical Data Analysis7h 26m
Certified SAS Base Programmer12h 2m
SAS Features for Starters1h 5m
SAS PROC SQL Features1h 53m
Big Data and Hadoop Training | Online Hadoop Course2h 3m
Hadoop Architecture and HDFS6h 13m
MapReduce - Beginners3h 34m
MapReduce - Advanced5h 35m
Hive - Beginners2h 47m
Hive - Advanced5h 11m
PIG - Beginners2h 1m
PIG - Advanced2h 13m
NoSQL Fundamentals2h 01m
Mahout3h 51m
Apache Oozie2h 13m
Apache Storm2h 4m
Apache Spark - Beginners1h 5m
Apache Spark - Advanced6h 14m
Splunk Fundamentals8h 33m
Splunk Advanced 01 - Knowledge Objects9h 29m
Splunk Advanced 02 - Administration39h
Project on Hadoop - Sales Data Analysis47m
Project on Hadoop - Tourism Survey Analysis53m
Project on Hadoop - Faculty Data Management35m
Project on Hadoop - E-Commerce Sales Analysis35m
Project on Hadoop - Salary Analysis49m
Project on Hadoop - Health Survey Analysis using HDFS56m
Project on Hadoop - Traffic Violation Analysis1h 25m
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce2h 33m
Project on Hadoop - Case Study on Telecom Industry using HIVE2h 2m
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce53m
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop3h 34m
Project on Hadoop - Sensor Data Analysis using HIVE/PIG5h 26m
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce3h 02m
Hadoop and HDFS Fundamentals on Cloudera1h 22m
Project on Hadoop - Log Data Analysis1h 32m
SPSS 2022 - Beginners1h 05m
SPSS 2022 - Advanced5h 22m
Advanced SPSS Project: Impact of EMI on Home Loan43m
Advanced SPSS Project: Impact of Total Turnover in Equity Market58m
Advanced SPSS Project: Impact of Trade Data in Equity Market46m
SPSS GUI and Applications1h 13m
SPSS - Correlation Techniques1h 8m
SPSS - Linear Regression Modeling3h 08m
SPSS - Multiple Regression Modeling2h 34m
SPSS - Logistic Regression2h 01m
SPSS - Multinomial Regression2h 2m
SPSS GUI for Statistical Analysis2h
Tableau Desktop Training 20224h 17m
Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m
Tableau Project - Russo-Ukraine War A Data Analytical Review1h 02m
Tableau4h 7m
BI Tools and Tableau Analytics5h 38m
Business Intelligence with Tableau5h 43m
Tableau Features Hands-on!5h 32m
Tableau Practical - Super Store Business Requirements45m
Analytics using Tableau9h 29m
Minitab for Beginners - 20221h 12m
Advanced Minitab Training - 20224h 39m
Minitab Practical - Impact of Predictors on Response1h 36m
Statistical Analysis using Minitab - Beginners to Beyond4h 27m
Minitab GUI and Descriptive Statistics2h 43m
ANOVA in Minitab53m
Correlation Techniques in Minitab2h 21m
Project on Minitab - Regression Modeling9h 54m
Minitab Predictive Modeling using Excel55m
MATLAB - Beginners2h 58m
MATLAB - Intermediate47m
MATLAB - Advanced4h 1m
Oracle SQL17h 32m
Oracle PLSQL13h 2m
Oracle DATABASE Admin DBA 1 Course9h 27m
Machine Learning with Tensorflow13h 29m
Hands-on Deep Learning Training10h 8m
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m
Project on R - HR Attrition and Analytics2h 43m
Logistic Regression using SAS Stat4h 28m
Linear Regression in Python2h 28m
Python Data Science Case Study - Predicting Survival of Titanic Passengers2h 6m
Project on R - Card Purchase Prediction2h 28m
Machine Learning Python Case Study - Develop Movie Recommendation Engine51m
R Practical - Employee Attrition Prediction using Random Forest Technique and R1h 6m
Project on Term Deposit Prediction using Logistic Regression CART Algorithm1h 38m
Poisson Regression with SAS Stat2h 22m
Machine Learning Project using Caret in R1h 58m
Time Series Analysis in Python - Sales Forecasting2h 12m
Course Name Online Data Scientist Course Philippines
Deal You get access to all videos for the lifetime
Hours 660+ Video Hours
Core Coverage You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.
Course Validity Lifetime Access
Eligibility Anyone serious about learning data science and wants to make a career in analytics
Pre-Requisites Basic knowledge of data and analytics
What do you get? Certificate of Completion for the course
Certification Type Course Completion Certificates
Verifiable Certificates? Yes, you get verifiable certificates for each85 course, 67 Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
Type of Training Video Course – Self Paced Learning
Software Required None
System Requirement 1 GB RAM or higher
Other Requirement Speaker / Headphone

Data Scientist Course in Philippines Curriculum


Due to the vastness of the application of the Data Science domain, the tools and technologies available to aid are also expanding at a rapid pace. It could prove to be intimidating to a fellow aspirer unless a structured guide or path is available. This Data Scientist Course in the Philippines was created as a one-stop solution to build a strong fundamental base, both in the technology and science (or theory) required to be efficient while practicing Data Science. It thus starts with getting a rock-solid foundation in python programming and it’s most powerful libraries for Data Science. Next, it gets you familiar with R, language designed primarily for data science and analysis. Once these languages are picked up, the course continues to explore more complex and niche technologies, which can reduce significant programming effort during some part of your data science project life cycle. These include SAS, Hadoop, SPSS, Splunk, MATLAB, Minitab, Tableau, and Oracle DB. Each of these enables one or more features among data storage, data processing at scale, exploratory data analysis, structured data processing, and data visualization capabilities, etc. Technology training, together with the multiple hands-on projects you stumble upon during coursework, will show real-life problems faced during a data science project and provide crucial experience to overcome inertia, not addressed in most of the available online courses. Post-certification, a person should be confident to take on real-life problems at scale independently.

Data Scientist Course – Certificate of Completion

Data Scientist Course in Philippines

Who is a Data Scientist?

A necessary skill for any professional to be called a Data Scientist is understanding of mathematical and statistical algorithms and formulae required to identify and prove statistical relationships between events. This forms the actual foundation of any reasoning to be done for a given problem statement.

Once a person has good enough capability to understand how to prove the existence of statistical relations (or non-existent of one), he/she attempts to do it as a scale.

This is done with the aid of modern technologies to mainly automate data collection, data cleaning and wrangling, data storage, data visualization, statistical inference and proof, and then prediction capability, and optimizing data pipelines for production usage. Most junior data scientist become efficient at 1-2 of these activities, experience has a fair idea of all, and the veteran is capable of causing advancements in a given area.

Industry Growth Trend

The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.
[Source - MarketsandMarkets]

Average Salary

Average Salary$120,301 per year
The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]

Which Skills will you learn in this Course?

The Data Scientist Course in the Philippines covers a wide set of technologies, ensuring a one-stop solution for all your data science needs. It begins with a deep-diving in python usage, a skill you must have. Then moves to teach R, a language at par with python for data science and analysis. These two are the foundational skills for any exploratory projects. The second half of the courses get you familiar with key technologies considered cutting edge in the industry currently. These include Hadoop, SAS, Tableau, Splunk, Minitab, etc. Each of the sections comes with hands-on projects and exercises giving you the necessary experience in their usage.

Pre-requisites

    • The Data Scientist Course in the Philippines is self-contained and can be picked up even by a person completely new to the field of programming and data science. It is designed as an all-rounder course of the field, thus doesn’t necessarily require any pre-known skill, and will require a machine to work upon and an internet connection to follow through the coursework.

Nonetheless, learning time can be reduced significantly if there’s previous programming or scripting experience, especially familiarity with languages R or Python.

Target Audience

    Data Scientist Course in the Philippines in itself contains content that addresses the basics or the foundational details and as well as advanced problems and an experienced professional also might not have encountered. Thus it is limited to the will for the person to grow holistically in this futuristic field. College students, fresh graduates and experienced candidates can all find the content useful in their growth.

Data Scientist Course Philippines – FAQ’s


Why should you take up the Data Scientist course in the Philippines?

The Philippines, being one of prominent developing countries, experienced massive development and growth in tech-based industries including e-commerce and digital media usage. In the past decade, roles related to SEO and Digital Marketing picked up traction, creating thousands of new jobs for skilled workers. Big Data and Data Analytics domain is the focus now, and there’s already an ever-growing demand for skilled Data Science professionals. A person can create great demand for the next decade why undergoing complete professional training, such as the one taught here.

What is the Data Scientist market trend in the Philippines?

While there’s already a global shortage of skilled Data Scientists, this demand is extremely high in developing countries like the Philippines due to budding start-up industries. Also, the country is assumed to be the center for big data analytics in the future. Recently even the government voiced their prediction of increasing demand for skilled professionals in the analytics domain, proving it’s vitality both in the short and long term. The industry is on the verge of exploding in terms of shortage of resources and now is the right time to enter this domain with a long term growth perspective.

Sample Preview


  • Seaborn-Statistical Data Visualization

    Seaborn-Statistical Data Visualization

    06.51
  • pandas series

    pandas series

    05.36
  • Creating Pie Charts

    Creating Pie Charts

    06.03
  • Decision Tree Classifier

    Decision Tree Classifier

    06.57
  • Hadoop Commands

    Hadoop Commands

    06.43
  • Union and Split Operators in Pig

    Union and Split Operators in Pig

    05.19
  • Analyze Book Performance By Reviews Using Code

    Analyze Book Performance By Reviews Using Code

    07.07
  • Install Software to Work with Iot

    Install Software to Work with Iot

    11.07
  • Static IP Configuration

    Static IP Configuration

    06.51
  • Default Parameters in Functions

    Default Parameters in Functions

    08.25

Career Benefits

    • Successful

Data Scientists

    command strong knowledge in core theory revolving around statistical inference, understand the different rules and hypotheses to apply a varying set of problem statements, and wield the technology-stack required to do these activities within a feasible and acceptable time of an enterprise. Any personnel finishing the course in its entirety will possess a strong control over all these activities. One would be able to pick up large-scale industrial analytics projects and do anything required to turn around new projects efficiently and effectively.

Reviews


 

Data Science Course in Philippines review 1

Testimonials

Data science with python

The course goes through the different areas of data science with python. Besides a fundamental theory regarding the explained concepts, the diverse concepts are exemplified with short python programs. The lessons are good to understand and the programs presented to illustrate and implement the concepts are simple and significant.
Linked

Jorge Giro

 

 

Data Science Course in Philippines review 2

Testimonials

Business Analytics using R

The data scientist course was very comprehensive and covered in detail the business analytics using R. The tutor used clear English and explained very carefully the different topics of the course. It is very rare to find a course online that covers that much information going from the basics of statistics to the application of R to business analytics. I think this is a competitive advantage of the course since the majority of this kind of courses available online are made for people who already know statistics or even some knowledge about the software itself, but this Data scientist course tried to cover them all which made very comfortable for me as a student.
Linked

Abderrahmane Friha

 

 

Data Science Course in Philippines review 3

Testimonials

Amazing First Sashay with Customer Analytics

If you’re looking to dipping your toes into customer analytics, this Data scientist course is a good first start. It provides the foundation knowledge for customer analytics from mapping out the customer lifecycle and drilling down on what needs to be down per phase of the said lifecycle. I need to note that the data scientist training course explains from a bank / financial service standpoint, though this I feel allows the course to explain the concepts better instead of not having any examples at all.
Linked

Acee Vitangcol

 

 

Data Science Course in Philippines review 4

Testimonials

Great content

Amazing material put together, it goes in-depth with functions on Excel, R, and SAS. I like the complexity and the level of knowledge especially the Excel area. If you are looking to analyze data regularly using excel 2010, or similar platforms such as R, this training is full of great content at a very high level.
Linked

Jorge Dominguez

 

 

Data Science Course in Philippines review 5

Testimonials

Good Introduction to Marketing Analytics

It is a good Introduction to Marketing Analytics. It lists the typical activities carried out in the practice of predictive analytics. Furthermore, it helps to define how to make analytics more efficient, lists the type of models that are used in marketing and digital marketing, and some hints on the leading vendors of predictive analytics.
Linked

Ricardo Garibay-Martínez

 

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CoursesNo. of Hours
Machine Learning with Python 20225h 15m
Project on Machine Learning - Covid19 Mask Detector2h 05m
Machine Learning Project - Auto Image Captioning for Social Media2h 23m
Machine Learning with SciKit-Learn in Python8h 37m
Machine Learning Python Case Study - Predictive Modeling8h 27m
Matplotlib for Python Developers - Beginners4h 12m
Matplotlib for Python Developers - Intermediate2h 52m
Matplotlib for Python Developers - Advanced6h 37m
Pandas with Python Tutorial5h 47m
NumPy and Pandas Python5h 01m
Pandas Python Case Study - Data Management for Retail Dataset3h 28m
Python Case Study - Sentiment Analysis1h 06m
Data Science with Python4h 14m
Artificial Intelligence with Python - Beginner Level2h 49m
Artificial Intelligence with Python - Intermediate Level4h 36m
AI Artificial Intelligence with Python6h 15m
Video Analytics using OpenCV and Python Shells2h 13m
Machine Learning using Python3h 26m
Statistics Essentials with Python3h 23m
Project on Tensorflow - Implementing Linear Model with Python1h 46m
Project - Data Analytics with Data Exploration Case Study5h 7m
Project on ML - Random Forest Algorithm1h 29m
Seaborn Python - Beginners2h 28m
Seaborn Python - Intermediate1h 18m
Seaborn Python - Advanced1h 56m
PySpark Python - Beginners2h 3m
PySpark Python - Intermediate2h 05m
PySpark Python - Advanced1h 14m
Machine Learning Python Case Study - Diabetes Prediction1h 03m
R Studio UI and R Script Basics4h 9m
R Programming for Data Science | A Complete Courses to Learn5h 7m
R Practical - Logistic Regression with R4h 18m
Project - Decision Tree Modeling using R1h 44m
Project on ML - Churn Prediction Model using R Studio1h 22m
Financial Analytics in R - Beginners3h 5m
Financial Analytics in R - Intermediate1h 28m
Financial Analytics in R - Advanced1h 35m
R for Finance - Beginners to Beyond2h 17m
Comprehensive Course on R3h 54m
Project on R - Forecasting using R4h 34m
Project - Fraud Analytics using R & Microsoft Excel2h 34m
Project - Marketing Analytics using R and Microsoft Excel2h 9m
Machine Learning with R20h 28m
Case Study - Customer Analytics using Tableau and R2h 7m
Case Study - Pricing Analytics using Tableau and R2h 39m
Business Analytics using R - Hands-on!16h 21m
Project - Market Basket Analysis in R1h 3m
Project - Hypothesis Testing using R3h 6m
Data Visualization with R Shiny - The Fundamentals1h 6m
Data Science with R6h 2m
R Studio Anova Techniques Course2h 18m
SAS Business Analytics for Beginners10h 42m
Predictive Modeling with SAS Enterprise Miner9h 21m
Quantitative Finance with SAS3h 29m
SAS Statistics8h 18m
SAS ODS (Output Delivery System)9h 08m
SAS PROC SQL13h 49m
SAS Macros7h 38m
SAS Advanced Analytics12h 34m
SAS Graph2h 1m
SAS DS25h 2m
SAS SQL3h 03m
SAS Practical - Macros5h 12m
SAS Advanced Programming11h 24m
SAS Categorical Data Analysis7h 26m
Certified SAS Base Programmer12h 2m
SAS Features for Starters1h 5m
SAS PROC SQL Features1h 53m
Big Data and Hadoop Training | Online Hadoop Course2h 3m
Hadoop Architecture and HDFS6h 13m
MapReduce - Beginners3h 34m
MapReduce - Advanced5h 35m
Hive - Beginners2h 47m
Hive - Advanced5h 11m
PIG - Beginners2h 1m
PIG - Advanced2h 13m
NoSQL Fundamentals2h 01m
Mahout3h 51m
Apache Oozie2h 13m
Apache Storm2h 4m
Apache Spark - Beginners1h 5m
Apache Spark - Advanced6h 14m
Splunk Fundamentals8h 33m
Splunk Advanced 01 - Knowledge Objects9h 29m
Splunk Advanced 02 - Administration39h
Project on Hadoop - Sales Data Analysis0h 8m
Project on Hadoop - Tourism Survey Analysis0h 9m
Project on Hadoop - Faculty Data Management0h 58m
Project on Hadoop - E-Commerce Sales Analysis0h 59m
Project on Hadoop - Salary Analysis1h 22m
Project on Hadoop - Health Survey Analysis using HDFS1h 34m
Project on Hadoop - Traffic Violation Analysis1h 25m
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce2h 33m
Project on Hadoop - Case Study on Telecom Industry using HIVE2h 2m
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce1h 29m
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop3h 34m
Project on Hadoop - Sensor Data Analysis using HIVE/PIG5h 26m
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce3h 02m
Hadoop and HDFS Fundamentals on Cloudera1h 22m
Project on Hadoop - Log Data Analysis1h 32m
SPSS 2022 - Beginners1h 05m
SPSS 2022 - Advanced5h 22m
Advanced SPSS Project: Impact of EMI on Home Loan1h 12m
Advanced SPSS Project: Impact of Total Turnover in Equity Market1h 38m
Advanced SPSS Project: Impact of Trade Data in Equity Market1h 18m
SPSS GUI and Applications1h 13m
SPSS - Correlation Techniques1h 8m
SPSS - Linear Regression Modeling3h 08m
SPSS - Multiple Regression Modeling2h 34m
SPSS - Logistic Regression2h 01m
SPSS - Multinomial Regression2h 2m
SPSS GUI for Statistical Analysis2h
Tableau Desktop Training 20224h 17m
Tableau Project-Creating Dashboard and Stories For Financial Markets2h 08m
Tableau Project - Russo-Ukraine War A Data Analytical Review1h 02m
Tableau4h 7m
BI Tools and Tableau Analytics5h 38m
Business Intelligence with Tableau5h 43m
Tableau Features Hands-on!5h 32m
Tableau Practical - Super Store Business Requirements1h 16m
Analytics using Tableau9h 29m
Minitab for Beginners - 20221h 12m
Advanced Minitab Training - 20224h 39m
Minitab Practical - Impact of Predictors on Response1h 36m
Statistical Analysis using Minitab - Beginners to Beyond4h 27m
Minitab GUI and Descriptive Statistics2h 43m
ANOVA in Minitab1h 28m
Correlation Techniques in Minitab2h 21m
Project on Minitab - Regression Modeling9h 54m
Minitab Predictive Modeling using Excel1h 32m
MATLAB - Beginners2h 58m
MATLAB - Intermediate1h 19m
MATLAB - Advanced4h 1m
Oracle SQL17h 32m
Oracle PLSQL13h 2m
Oracle DATABASE Admin DBA 1 Course9h 27m
Machine Learning with Tensorflow13h 29m
Hands-on Deep Learning Training10h 8m
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression2h 07m
Project on R - HR Attrition and Analytics2h 43m
Logistic Regression using SAS Stat4h 28m
Linear Regression in Python2h 28m
Python Data Science Case Study - Predicting Survival of Titanic Passengers2h 6m
Project on R - Card Purchase Prediction2h 28m
Machine Learning Python Case Study - Develop Movie Recommendation Engine1h 26m
R Practical - Employee Attrition Prediction using Random Forest Technique and R1h 6m
Project on Term Deposit Prediction using Logistic Regression CART Algorithm1h 38m
Poisson Regression with SAS Stat2h 22m
Machine Learning Project using Caret in R1h 58m
Time Series Analysis in Python - Sales Forecasting2h 12m

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