Learn from Home Offer
Learn from Home Offer
DATA SCIENTIST Course Bundle - 150 Courses in 1
608+ Hours of HD Videos
Verifiable Certificate of Completion
* One Time Payment & Get Lifetime Access
What you get in this DATA SCIENTIST Course Bundle - 150 Courses in 1?
Course Completion Certificates
Mobile App Access
About Data Scientist Course Philippines
|Course Name||Online Data Scientist Course Philippines|
|Deal||You get access to all videos for the lifetime|
|Hours||608+ 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 each150 course, 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|
|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.
MODULE 1: Data Science with Python Essentials Training
Courses No. of Hours Certificates Details Machine Learning with Python 2023 5h 19m ✔ Machine Learning with Python Case Study - Covid19 Mask Detector 2h 05m ✔ Deep Learning: Automatic Image Captioning for Social Media with Tensorflow 2h 23m ✔ Supervised Machine Learning in Python 8h 37m ✔ Predictive Analytics and Modeling with Python 8h 24m ✔ Matplotlib for Python Data Visualization - Beginners 4h 12m ✔ Matplotlib for Python Data Visualization - Intermediate 2h 53m ✔ Matplotlib for Python Data Visualization - Advanced 6h 37m ✔ Pandas with Python Tutorial 5h 47m ✔ NumPy and Pandas Python 5h 01m ✔ Pandas Python Case Study - Data Management for Retail Dataset 3h 25m ✔ Python Case Study - Sentiment Analysis 1h 06m ✔ Data Science with Python 4h 14m ✔ Artificial Intelligence with Python - Beginner Level 2h 51m ✔ Artificial Intelligence with Python - Intermediate Level 4h 36m ✔ AI Artificial Intelligence & Predictive Analysis with Python 6h 15m ✔ Video Analytics using OpenCV and Python Shells 2h 13m ✔ Machine Learning using Python 3h 26m ✔ Statistics Essentials with Python 3h 23m ✔ Project on Tensorflow - Implementing Linear Model with Python 1h 46m ✔ Project - Data Analytics with Data Exploration Case Study 5h 7m ✔ Random Forest Algorithm using Python 1h 29m ✔
MODULE 2: Data Science with R & Python Essentials Training
Courses No. of Hours Certificates Details Seaborn Python - Beginners 2h 28m ✔ Seaborn Python - Intermediate 1h 18m ✔ Seaborn Python - Advanced 1h 56m ✔ PySpark Python - Beginners 2h 3m ✔ PySpark Python - Intermediate 2h 05m ✔ PySpark Python - Advanced 1h 14m ✔ Machine Learning Python Case Study - Diabetes Prediction 1h 03m ✔ R Studio UI and R Script Basics 4h 13m ✔ R Programming for Data Science | A Complete Courses to Learn 5h 7m ✔ Logistic Regression & Supervised Machine Learning with R 4h 14m ✔ Decision Trees Modeling using R 1h 4m ✔ Project on ML - Churn Prediction Model using R Studio 1h 22m ✔ Financial Analytics in R - Beginners 3h 53m ✔ Financial Analytics in R - Intermediate 1h 28m ✔ Financial Analytics in R - Advanced 1h 35m ✔ R for Finance - Beginners to Beyond 2h 17m ✔ Comprehensive Course on R 3h 54m ✔ Time Series Analysis and Forecasting using R 4h 23m ✔ Project - Fraud Analytics using R 2h 34m ✔ Project - Marketing Analytics using R and Microsoft Excel 2h 9m ✔ Machine Learning with R 20h 28m ✔ Case Study - Customer Analytics using Tableau and R 2h 7m ✔ Case Study - Pricing Analytics using Tableau and R 2h 39m ✔ Business Analytics using R - Hands-on! 16h 21m ✔ Project - Market Basket Analysis in R 37m ✔ Project - Hypothesis Testing using R 3h 6m ✔ Data Visualization with R Shiny - The Fundamentals 39m ✔ Data Science with R 6h 2m ✔ R Studio Anova Techniques Course 2h 18m ✔
MODULE 3: Data Science with SAS Essentials Training
Courses No. of Hours Certificates Details SAS Business Analytics for Beginners 10h 45m ✔ Predictive Analytics & Modeling with SAS 9h 19m ✔ Quantitative Finance with SAS 3h 29m ✔ SAS Statistics 8h 18m ✔ SAS ODS (Output Delivery System) 9h 36m ✔ SAS PROC SQL 13h 49m ✔ SAS Macros 7h 25m ✔ SAS Advanced Analytics 12h 22m ✔ SAS Graph 2h 1m ✔ SAS DS2 4h 59m ✔ SAS SQL 3h 01m ✔ SAS Practical - Macros 5h 5m ✔ SAS Advanced Programming 10h 7m ✔ SAS Categorical Data Analysis 7h 16m ✔ Certified SAS Base Programmer 12h 2m ✔ SAS Features for Starters 1h 5m ✔ SAS PROC SQL Features 1h 49m ✔
MODULE 4: Big Data & Hadoop
Courses No. of Hours Certificates Details Big Data and Hadoop Training | Online Hadoop Course 2h 9m ✔ Hadoop Architecture and HDFS 6h 13m ✔ MapReduce - Beginners 3h 34m ✔ MapReduce - Advanced 5h 35m ✔ Hive - Beginners 2h 47m ✔ Hive - Advanced 5h 11m ✔ PIG - Beginners 2h 1m ✔ PIG - Advanced 2h 13m ✔ NoSQL Fundamentals 2h 01m ✔ Mahout 3h 51m ✔ Apache Oozie 2h 13m ✔ Apache Storm 2h 4m ✔ Apache Spark - Beginners 1h 5m ✔ Apache Spark - Advanced 6h 14m ✔ Splunk Fundamentals 8h 33m ✔ Splunk Advanced 01 - Knowledge Objects 9h 29m ✔ Splunk Advanced 02 - Administration 39h ✔
MODULE 5: Learning from Projects & Practicals
Courses No. of Hours Certificates Details Project on Hadoop - Sales Data Analysis 47m ✔ Project on Hadoop - Tourism Survey Analysis 53m ✔ Project on Hadoop - Faculty Data Management 35m ✔ Project on Hadoop - E-Commerce Sales Analysis 35m ✔ Project on Hadoop - Salary Analysis 49m ✔ Project on Hadoop - Health Survey Analysis using HDFS 56m ✔ Project on Hadoop - Traffic Violation Analysis 1h 25m ✔ Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce 2h 33m ✔ Project on Hadoop - Case Study on Telecom Industry using HIVE 2h 2m ✔ Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce 53m ✔ Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop 3h 34m ✔ Project on Hadoop - Sensor Data Analysis using HIVE/PIG 5h 26m ✔ Project on Hadoop - Youtube Data Analysis using PIG/MapReduce 3h 02m ✔ Hadoop and HDFS Fundamentals on Cloudera 1h 22m ✔ Project on Hadoop - Log Data Analysis 1h 32m ✔ SPSS 2023 - Beginners 1h 07m ✔ SPSS 2023 - Advanced 5h 22m ✔ Advanced SPSS Project: Impact of EMI on Home Loan 43m ✔ Advanced SPSS Project: Impact of Total Turnover in Equity Market 58m ✔ Advanced SPSS Project: Impact of Trade Data in Equity Market 46m ✔ SPSS GUI and Applications 1h 13m ✔ SPSS - Correlation Techniques 1h 8m ✔ Linear Regression & Supervised Learning with SPSS 3h 07m ✔ SPSS - Multiple Regression Modeling 2h 34m ✔ Logistic Regression & Supervised Learning using SPSS 2h 37m ✔ SPSS - Multinomial Regression 2h 2m ✔ SPSS GUI for Statistical Analysis 2h ✔ Tableau Desktop Training 2023 4h 21m ✔ Tableau Project-Creating Dashboard and Stories For Financial Markets 2h 08m ✔ Tableau Project - Russo-Ukraine War A Data Analytical Review 1h 02m ✔ Tableau 4h 7m ✔ BI Tools and Tableau Analytics 5h 38m ✔ Business Intelligence with Tableau 5h 43m ✔ Tableau Features Hands-on! 5h 32m ✔ Tableau Practical - Super Store Business Requirements 45m ✔ Analytics using Tableau 8h 9m ✔
MODULE 6: Minitab and MATLAB
Courses No. of Hours Certificates Details Minitab for Beginners - 2023 1h 15m ✔ Advanced Minitab Training - 2023 4h 39m ✔ Minitab Practical - Impact of Predictors on Response 1h 36m ✔ Statistical Analysis using Minitab - Beginners to Beyond 4h 21m ✔ Minitab GUI and Descriptive Statistics 2h 43m ✔ ANOVA in Minitab 52m ✔ Correlation Techniques in Minitab 2h 18m ✔ Project on Minitab - Regression Modeling 9h 36m ✔ Minitab Predictive Modeling using Excel 55m ✔ MATLAB - Beginners 3h 9m ✔ MATLAB - Intermediate 47m ✔ MATLAB - Advanced 4h 1m ✔
MODULE 7: Database & SQL
Courses No. of Hours Certificates Details Oracle SQL 17h 32m ✔ Oracle PLSQL 13h 2m ✔ Oracle DATABASE Admin DBA 1 Course 9h 27m ✔ Machine Learning ZERO to HERO - Hands-on with Tensorflow 13h 28m ✔ Deep Learning ZERO to HERO - Hands-on with Python 10h 8m ✔ Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression 2h 07m ✔ Project on R - HR Attrition and Analytics 2h 4m ✔ Logistic Regression using SAS Stat 4h 26m ✔ Linear Regression & Supervised Learning in Python 2h 28m ✔ Logistic Regression & Supervised Machine Learning in Python 2h 6m ✔ Project on R - Card Purchase Prediction 2h 28m ✔ Develop a Movie Recommendation Engine 51m ✔ Random Forest Techniques and R - Employee Attrition Prediction 1h 6m ✔ Predictive Analytics Model for Term Deposit Investment using CART Algorithm 1h 38m ✔ Poisson Regression with SAS Stat 2h 21m ✔ Machine Learning Project using Caret in R 1h 58m ✔ Sales Forecasting using Time Series Analysis in Python 2h 13m ✔
Data Scientist Course – Certificate of Completion
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 TrendThe 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]
[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.
- 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.
- 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.
- 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.
Data science with python
Business Analytics using R
Amazing First Sashay with Customer Analytics
Good Introduction to Marketing Analytics