Data Science is the platform using mathematical, scientific, and psychological methods to analyze data to assist businesses in making data-driven decisions.
Learning data science is a concept to unify statistics involving data analysis, subsets of artificial intelligence such as deep learning, machine learning, and their related methods.
In data science training in Philippines, participants learn to analyze the actual phenomena of data. Here, learners employ the techniques and theories picked from the broad areas of mathematics, statistics, information science, and computer science. The core practices include the subdomains of machine learning, data mining, databases, and visualization.
Topics Covered
Analytics Overview
Introduction to SAS
Combining and Modifying Datasets
PROC SQL
SAS Macros
Basics of Statistics
Statistical Procedures
Data Exploration
Advanced Statistics
Working with Time Series Data
Designing Optimization Models
Introduction to Business Analytics
Introduction to R
R Data Structure
Apply Functions
Data Visualization
Introduction to Statistics
Hypothesis Testing I
Hypothesis Testing II
Regression Analysis
Classification
Clustering
Association
Introduction to Big data and Hadoop Ecosystem
HDFS and YARN
MapReduce and Sqoop
Basics of Hive and Impala
Types of Data Formats
Advanced Hive Concept and Data File Partitioning
Apache Flume and HBase
Pig
Basics of Apache Spark
RDDs in Spark
Implementation of Spark Applications
Spark Parallel Processing
Spark RDD Optimization Techniques
Spark RDD Optimization Techniques
Spark SQL
Apache Kafka
Core Java
Data Science
Data Analytics
Statistical Analysis and Business Applications
Python Environment Setup and Essentials
Mathematical Computing with Python (NumPy)
Scientific computing with Python (Scipy)
Data Manipulation with Pandas
Machine Learning with Scikit–Learn
Natural Language Processing with Scikit Learn
Data Visualization in Python using matplotlib
Web Scraping with BeautifulSoup
Python integration with Hadoop MapReduce and Spark
Python Basics
Introduction to Business Analytics
Formatting Conditional Formatting and Important Functions
Analyzing Data with Pivot Tables
Business Analytics With Excel
Data Analysis Using Statistics
Power BI
Microsoft Power BI Desktop
Microsoft Power BI Recipes
Machine Learning Introduction
Data Preprocessing
Math Refresher
Regression
Classification
Unsupervised learning – Clustering
Introduction to Deep Learning
Python Programming for Beginners
Python Django From Scratch
Introduction to Deep Learning with TensorFlow
Perceptrons
Activation Functions
Artificial Neural Networks
Gradient Descent and Backpropagation
Optimization and Regularization
Optimization and Regularization
Intro to Convolutional Neural Networks
Intro to Recurrent Neural Networks
Deep Learning applications
Top-rated instructors imparting in-depth training, hands-on exercises with high energy workshop
The training program includes several lab assignments, developed as per real industry scenarios.
Training begins taking a fresh approach from basic, unique modules, flexible, and enjoyable.
Basic to intermediate and eventually advanced practicing full hands-on lab exercises till you master.
Refresh training for experts for mastering and enhancing the skills on the subjects with fresh course modules.
Includes evaluation, feedback, and tips to handle critical issues in live setup after you are placed in a job.
This certificate proves that you have taken a big leap in mastering the domain comprehensively.
Now you are equipped with real-industry knowledge, required skills, and hands-on experience to stay ahead of the competition.
Post the certificate on LinkedIn and job sites to boost your profile. Notify your friends and colleagues by sharing it on Twitter and Facebook.