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SYLLABUS OF DATA SCIENCE COURSE IN PHILIPPINES

  • Introduction to Data Science
  • Industry applications
  • Terminologies
  • Anaconda - Python distribution Installation and setup
  • Jupyter Notebook
  • Python Basics
  • Data structures
  • Control statements
  • R Installation and Setup
  • R Studio Basics
  • R Data Structures
  • Control Statements
  • Data Science Packages
  • Essential mathematics
  • Linear algebra
  • Linear Transformation
  • Types of Matrices
  • Matrix properties and Operations
  • Probability and Calculus
  • Statistics Introduction
  • Terminologies
  • Inferential Statistics
  • Harnessing Data
  • Exploratory Analysis
  • Distributions
  • Central Limit Theorem
  • Hypothesis Testing
  • Correlation and Regression
  • Numpy Array functions
  • Data munging with Pandas
  • Imputation
  • Outlier analysis
  • Visualization basics
  • Matplotlib Introduction
  • Basic plots
  • Customizing plots
  • Sub-plots
  • Statistical Plots
  • Seaborn package introduction
  • Machine Learning Introduction
  • ML core concepts
  • Unsupervised and Supervised Learning
  • Clustering with K-Means
  • Linear Regression
  • Logistic Regression
  • K-nearest Neighbor
  • Bayes Theorem
  • Naïve Bayes Algorithm for text classification
  • Decision Tree
  • Ensemble methods: Random Forest
  • Extra Trees
  • SVM
  • Boosting Techniques
  • XGBOOST
  • Artificial Neural Network
  • Adv Metrics
  • Imbalanced Dataset
  • Grid search
  • K-fold Cross validation
  • Relational Database Management Systems basics
  • SQL Introduction
  • Connection to SQL databases
  • Fetching data with SELECT, WHERE condition, SQL JOINs, SQL CRUD operations
  • Deep Learning Introduction
  • TensorFlow and Keras
  • Convolution Neural Network basics
  • End to End image classification of cats and dogs using TensorFlow-Keras platform
  • Visual Analytics basics
  • Tableau Introduction
  • Connecting to data source
  • Dimensions vs. Measures
  • Basic plots, compound plots, forecasting, publishing
  • ML Deployment Strategies
  • Flask introduction
  • Packing training ML model
  • Deploying it on Flask as API
  • Introduction to Big Data
  • Hadoop Concepts
  • Spark Big Data for Data Science Processing
  • Handling Big Data in Machine Learning Pipeline
  • Data Science Project Management method
  • Business Case
  • Risk and Limitation of Machine Learning
  • Project Pit falls

OFFERED DATA SCIENCE COURSES IN PHILIPPINES

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN PHILIPPINES

Data is the new word that is defining the century, Data Science is the new science. Many opportunities are coming up in the field of Data Science. This rise is directly resulting in the creation of jobs. As per the report by the U.S. Bureau of Labour Statistics, the total number of jobs in Data Science is expected to rise to 11.5 million in the next 5 years.  According to IBM, there will be around 700000 new job opportunities generated in the field of Data Science.

The Philippines is offering great opportunities in the field of Data Science, Artificial Intelligence and Machine Learning. All of these jobs come from companies in various industries, such as Manufacturing, Retail, Healthcare, etc.

The IT sector in the Philippines has experienced significant growth in recent years, contributing to the country's economic development. According to recent statistics, the sector employs over 1.2 million professionals and accounts for approximately 7% of the country's GDP. The Philippines is known for its strong outsourcing and offshoring capabilities, with a large number of international companies establishing their presence in the country. The sector's steady growth can be attributed to a skilled English-speaking workforce, competitive labor costs, and government support for IT infrastructure development. The Philippines continues to be a key player in the global IT industry.

Data science has become the driving force behind the technological revolution of our time, and its significance cannot be overstated. The importance of a data science course lies in its ability to unlock the hidden treasures within vast volumes of data. It equips individuals with the skills to extract valuable insights, make informed decisions, and drive innovation in various industries. By mastering data analysis, statistical modeling, and machine learning techniques, students gain the power to predict trends, detect patterns, and optimize processes. A data science course empowers individuals to navigate the complex world of big data, enabling them to shape the future and contribute to the advancement of society.

The Certified Data Scientist course offered by DataMites in the Philipines is an industry-oriented certification that is designed in tune with the best knowledge standards and keeping in mind the long term objective of helping the aspirants, in gaining professional excellence in their organisational endeavours. This online Data Science course covers - Data Science Foundation, Statistics for Data Science, Python for Data Science, R for Data Science, Tableau. The Certified Data Scientist Course is accredited by IABAC (International Association of Business Analytics Certifications) .

DataMites training institute is providing 55% discount on online data science course fee in Philippines. It’s a limited time offer. For any further details, you can get in touch with our executives.

DataMites also provides training for Machine Learning, Certified Data Analyst, Deep Learning, Python, IoT, Python for Data Science, and the Artificial Intelligence courses in Philipines.

DESCRIPTION OF DATA SCIENCE COURSE IN PHILIPPINES

FAQ’S OF DATA SCIENCE TRAINING IN PHILIPPINES

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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