Best Data Science Course Training in Philippines
- 48 Hours Classroom & Online Sessions
- 80+ Hours Assignments & eLearning
- 100% Job Assistance
- 2 Capstone Projects
- Blockchain enabled tamper-proof security certificate
411 Reviews
12561 Learners
Academic Partners & International Accreditations
"The Philippines Data Science Market will be worth 6 million dollars in 2025 and the Data Analytics Outsourcing market in Philippines is worth $26 Billion", Philippines will undoubtedly witness around three lakh job openings in Data Science by 2021. Philippines is second to the United States in terms of the number of job openings in Data Science. In 2019, 97,000 positions in data science and analytics were vacant due to the lack of qualified candidates. The top sectors creating the most Data Science jobs are BFSI, Energy, Pharmaceutical, HealthCare, E-commerce, Media, and Retail. Today large companies, medium-sized companies and even startups are willing to hire data scientists in Philippines. The five most sought after digital skills are Big Data, Software and User Testing, Mobile Development, Cloud Computing, and Software Engineering Management.
Data Science
Total Duration
3 Months
Prerequisites
- Computer Skills
- Basic Mathematical Concepts
- Analytical Mindset
Data Science Training in Philippines
360DigiTMG has introduced the most comprehensive Data Science course in Philippines. The various stages of the Data Science Lifecycle are explored in the trajectory of this Data Science program. This Data Science training in Philippines begins with an introduction to Statistics, Probability, Python, and R programming. The student will then conceptualize Data Preparation, Data Cleansing, Exploratory Data Analysis, and Data Mining (Supervised and Unsupervised). Comprehend the theory behind Feature Engineering, Feature Extraction, and Feature Selection. Participants will also learn to perform Data Mining (Supervised) with Linear Regression and Predictive Modeling with Multiple Linear Regression Techniques. Data Mining Unsupervised using Clustering, Dimension Reduction, and Association Rules are also dealt with in detail.
A module is dedicated to scripting Machine Learning Algorithms and enabling Deep Learning and Neural Networks with Black Box techniques and SVM. All the stages delineated in the CRISP-DMM framework for a Data Science Project are dealt with in great depth and clarity in this course. Undoubtedly this emerges as one of the best Data Science in Philippines due to the live project exposure in INNODATATICS. This gives a golden opportunity for students to apply the various concepts studies to a real-time situation.
What is Data Science?
Data science is an amalgam of methods derived from statistics, data analysis, and machine learning that are trained to extract and analyze huge volumes of structured and unstructured data.
Who is a Data Scientist?
A Data Scientist is a researcher who has to prepare huge volumes of big data for analysis, build complex quantitative algorithms to organize and synthesize the information, and present the findings with compelling visualizations to senior management. A Data Scientist enhances business decision making by introducing greater speed and better direction to the entire process.
A Data Scientist must be a person who loves playing with numbers and figures. A strong analytical mindset coupled with strong industrial knowledge is the skill set most desired in a Data Scientist. He must possess above average communication skills and must be adept in communicating the technical concepts to non-technical people.
Data Scientists need a strong foundation in Statistics, Mathematics, Linear Algebra, Computer Programming, Data Warehousing, Mining, and Modeling to build winning algorithms. Having proficiency in tools such as Python, R, R Studio, Hadoop, MapReduce, Apache Spark, Apache Pig, Java, NoSQL database, Cloud Computing, Tableau, and SAS is beneficial, but not mandatory.
Data Science Course Outcomes in Philippines
In this data-driven environment certification in Data Science prepares you for the surging demand of Big Data skills and technology in all the leading industries. There is a huge career prospect available in the field of data science and this Data Science certification is one of the most comprehensive courses in the industry today. This course in Philippines is specially designed to suit both data professionals and beginners who want to make a career in this fast-growing profession. This training will equip the students with logical and relevant programming abilities to build database models. They will be able to create simple machine learning algorithms like K-Means Clustering, Decision Trees, and Random Forest to solve problems and communicate the solutions effectively. In three months, students will also explore the key techniques such as Statistical Analysis, Regression Analysis, Data Mining, Machine Learning, Forecasting and Text Mining, and scripting algorithms for the same with Python and R programming. Understand the key concepts of Neural Networks and study Deep Learning Black Box techniques like SVM.
Block Your Time
48 hours
Classroom & Online Sessions
80+ hours
Assignments & eLearning
2
Capstone Projects
Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
Data Science Course Modules in Philippines
This program follows the CRISP-DM Methodology. The premier modules are devoted to a foundational perspective of Statistics, Mathematics, Business Intelligence, and Exploratory Data Analysis. The successive modules deal with Probability Distribution, Hypothesis Testing, Data Mining Supervised, Predictive Modelling - Multiple Linear Regression, Lasso And Ridge Regression, Logistic Regression, Multinomial Regression, and Ordinal Regression. Later modules deal with Data Mining Unsupervised Learning, Recommendation Engines, Network Analytics, Machine Learning, Decision Tree and Random Forest, Text Mining, and Natural Language Processing. The final modules deal with Machine Learning - classifier techniques, Perceptron, Multilayer Perceptron, Neural Networks, Deep Learning Black-Box Techniques, SVM, Forecasting, and Time Series algorithms. This is the most enriching course in Australia in terms of the array of topics covered.
Get about, CRISP - ML(Q) the perfect Project Management Methodology used for handling Data Mining projects. Understand the entire process flow including Business Problem definition, Data Collection, Data Cleansing, Feature Engineering, Feature Selection, Model Building, Deployment and Maintenance. Get introduced to the principles of big data and learn about the opportunities being created. Understand about how Data is generation and explosion of data, Innovations in the space of analytics. Learn how to distinguish between data types, Exploratory data analysis, the Various moments of Business decisions and various Graphical techniques. Learn about probability and probability distribution namely Z distribution and Student's t-distribution.
Learn about Hypothesis testing, the many Hypothesis testing Statistics, work with the Null Hypothesis & Alternative hypothesis and Types of hypothesis testing. Interpret the results of Hypothesis test and probabilities of Alpha error, understand Type I and Type II errors. Get introduced to Linear regression, various components of Linear regression viz regression line, Linear regression equation, the concept of Ordinary Least Square. Get introduced to Linear regression analysis, and Linear regression examples.
Understand the Linear regression in a multivariate scenario, understand collinearity and how to deal with it. Get introduced to the analysis of Attribute Data, understand the principles of Logistic regression, Binary Logistic regression analysis. Learn about the Multiple Logistic regression, Probability measures, and its interpretation. Get clarity on the confusion matrix and its elements. Get introduced to “Cut off value” estimation using AUC and ROC curve, understand False Positive Rate, False Negative Rate, Sensitivity, Specificity. Gain a birds-eye view to various advanced regression techniques and analysis of count data namely Poisson regression, Negative binomial regression. Learn when to use Poisson regression and negative binomial regression for predicting count data.
Learn about modeling using KNN, the K nearest neighbour algorithm using KNN algorithm examples. The KNN classifier is one of the most popular classifier algorithms. Decision tree & Random forest are one of the most powerful classifier algorithms today. Under this tutorial learn about Decision Tree analysis, Decision Tree examples and Random Forest algorithms. Also learn about the various ensemble machine learning algorithms. Text Mining or Text Data Mining are the most widely used analyzing tools for unstructured data. As part of the session, learn about Text analytics and the various text mining techniques in the text mining application, text mining algorithms, and sentiment analysis. Gain a ‘hands-on’ on how to extract data from Social Media, download user reviews from E-commerce sites and travel sites. Generate various visualizations using the downloaded data.
Under the Naïve Bayes classifier tutorial, learn how the classification modelling is done using Bayesian classification, understand the same using Naïve Bayes example. Learn about Naïve Bayes through the example of text mining. Artificial Neural Network and Support Vector Machines are the 2 powerful Deep learning algorithms. Get introduced to Perceptron Algorithms, Artificial Neural Networks, Multilayer Perceptron (MLP). Learn how to work with Support Vector Machine, SVM classifiers, and SVM regression. Get introduced to Association rules in data mining to decode the relationship between entities, understand how the Apriori algorithm works, and the association rule mining algorithm works.
Description: As part of data mining unsupervised, get introduced to various clustering algorithms, learn about Hierarchical clustering, K-means clustering using clustering examples, know what clustering machine learning is all about. Learn about K-means Clustering, Clustering ratio, and various clustering metrics. Get introduced to methods of making optimum clusters. Learn the need for data reduction in data mining using dimensionality reduction techniques. Learn about the advantages of dimensionality reduction using PCA. Get introduced to the difference between cross-sectional data and Time-series data. Various stages of forecasting projects, components of Time-series, visualization techniques, model-based techniques and learning how to evaluate the forecasting models accuracy.
Tools Covered
Data Science Trends in Philippines
The demand for Data Scientists is predicted to increase by 30% by 2021. With the inclusion of Cloud and IoT technologies, there has been an exponential growth of data that has led to the expansion of roles for data scientists in the field of Machine Learning and Big Data technology. In the times to come a Data scientist role will not be just subjected to technical aspects but will rise to more of a collaborator and a facilitators role. An entry-level fresher in Data Science earns around $ 4 k. And if he decides to stay put for another 5 to 10 years on the job, he gets a handsome promotion to the $ 7 to 11 k per annum layer. If he persists and dedicates a lifetime to data science he can garner anywhere from $ 25 k to a whopping one crore per annum.
In Philippines, Data Scientists have 4 job hops in 8 years with a 2-year tenure with each employer. Data Scientists normally get a 60-100% salary increase on job changes. First, the aspirant joins as a Data Scientist intern and as a Junior Data Scientist and then moves on to becoming a Senior Data Scientist. After this, he gets elevated to Principal Data Scientist and finally heads the Data Science vertical as Chief Data Scientist of the company. The top employers in Data Science are IBM, Accenture, JPMorgan Chase, Amex, McKinsey & Co, Impetus, Wipro, and Microsoft. Accenture offers the highest salary of $ 19.6 k per annum.
How we prepare you
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Additional Assignments of over 150+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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24/7 support
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Job Assistance in Data Science fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on experience in a live project
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Offline Hiring Events
Call us Today!
+60 19-383 1378Data Science Course Panel of Coaches in Philippines
Bharani Kumar Depuru
- Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
- Over 18+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Sharat Chandra Kumar
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 18+ years across several industry domains
- Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
- Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Bhargavi Kandukuri
- Areas of expertise: Business analytics, Quality management, Data
visualisation with Tableau, COBOL, CICS, DB2 and JCL - Electronics and communications engineer with over 19+ years of industry experience
- Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
- Trained over 750+ professionals across the globe in three years
- Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Certificate
Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science Certificate is your passport to an accelerated career path.
**All certificate images are for illustrative purposes only. The actual certificate may be subject to change at the discretion of the Certification Body.
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Alumni Speak
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
Nur Fatin
Associate Data Scientist
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"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”
Thanujah Muniandy
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"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
Ann Nee, Wong
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"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
Mohd Basri
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"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Ashner Novilla
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FAQs
This is an excellent data science for beginners.360DigiTMG is the best institute for data science training in Philippines. The course begins with an introduction to concepts in mathematics, statistics and data science. Students receive instruction in the world's most popular languages - Python and R.
You must have passed a Bachelor's degree in Mathematics, Statistics, Computer Science or Data Science. A Bachelor's degree in any engineering discipline is welcome. If you meet these requirements then you are eligible to join this course.
In this blended program, you will be attending 184 hours of Online sessions of 4 months. After completion, you will have access to the online Learning Management System for another three months for recorded videos and assignments. The total duration of assignments to be completed online is 150 hours. Besides this, you will be working on a live project for a month.
The Data Science using Python and R programming offered by 360DigiTMG is one of the best data science training in Philippines.
Yes. An individual can pursue a data science from a reputed institute after graduation. The institute must offer live project exposure via an internship program and possess industry-specific course material.
On an average a data scientist earns $ 6.2 k per annum in Philippines. A Senior Data Scientist can expect $ 11.4 k.
Yes. On submission of all assignments, you will receive a Course Completion Certificate. A sample of the certificate is available on our website for your reference.
Yes. We are proud to announce that we have received the TUV SUD rating of quality for our data science course.
Yes. Students can avail of our scholarship scheme titled " Jumpstart". 90% scholarship will be bestowed on deserving students.
The topics included in this course are
- Introduction to Python and R programming
- Exploratory Data Analysis
- Inferential Statistics
- Probability Distribution
- Data Visualization<
- Hypothesis Testing
- Data Mining Supervised Learning
- Predictive Modelling
- Regression Analysis
- Data Mining Unsupervised Learning
- Clustering
- Dimension reduction
- Association Rules
- Machine Learning
- Text Mining
- Natural Language Processing
- Neural Networks
- Deep Learning
- Black Box Techniques - SVM
- Forecasting/ Time Series
You will apprehend Python, R and R Studio in this course.
The course material can be downloaded from our online Learning Management System AISPRY.
Yes. We provide online tutorials in the course material. These can be accessed from our Learning Management System AISPRY.
If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.
Each online session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.
After you have completed the online sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.
After the student receives the course completion certificate, he has to enroll for an internship with INNODATATICS Ltd. He will be assigned a live project that he has to complete in a month's time.
We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
We provide end to end data science placement assistance after the internship is over. We help in resume preparation and conduct mock interviews. We also float your resume to several reliable placement consultants with whom we have a long association.
This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.
Jobs in the Field of Data Science in Philippines
The top sectors creating the most data science jobs are BFSI, Energy, Pharmaceutical, Healthcare, E-commerce, Media, and Retail.
Salaries in Philippines for Data Scientist
The average salary of a Data Scientist is $ 10.3 k per annum in Philippines. Professionals specializing in advanced analytics and predictive modelling can command higher salaries.
Data Science Projects in Philippines
The Philippinesn government has initiated several data science projects in the fields of Agriculture, Electricity, Water, Healthcare, Education, Road Traffic Safety and Air Pollution. The Government of Philippines has initiated several data science research initiatives as well.
Role of Open Source Tools in Analytics
Python and R are easy to learn and maintain and therefore, Godsend to developers in Data Science. Their extended libraries make it possible to stretch the applications of Python from Big Data Analytics to Machine Learning.
Modes of Training for Data Science with Python
The course in Philippines is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of online learning. We also support e-learning as part of our curriculum.
Industry Application of Data Science
Data Science is used for securities fraud early warning, card fraud detection systems, demand enterprise risk management, analysis of healthcare information, seismic interpretation, reservoir characterization, energy exploration, traffic control and route planning.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sana Ahsan
2 years agoI still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
Suriyaa Kumar
2 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
2 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
2 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
2 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
