Data science training Bangkok is an interdisciplinary field of scientific methods, processes, algorithms & systems to extract knowledge or insights from data in various forms, structured or unstructured, similar to data mining. Enroll & Get Certified now!
Data science training Bangkok prepares you for the Data Science Certification exam and for the role of Data Scientist by making you an expert in Statistics, Analytics, Data Science, Big Data, AI, Machine Learning and Deep Learning.
Data science course in Bangkok has been designed by the industry expert to help you master data mining, management, exploration, and carry out several industry-relevant projects.
You master in the skills mentioned below:
Data science course Bangkok the program provides access to high-quality eLearning content, simulation exams, a community moderated by experts, Data Science Training Bangkok and other resources that ensure you follow the optimal path to your dream role of data scientist.
Basic knowledge of statistics & Basic understanding of any programming language
Topic Covered:
Topic Covered: Analytics Overview
Topic Covered: Introduction to SAS
Topic Covered: Combining and Modifying Datasets
Topic Covered: PROC SQL
Topic Covered: SAS Macros
Topic Covered: Basics of Statistics
Topic Covered: Statistical Procedures
Topic Covered: Data Exploration
Topic Covered: Advanced Statistics
Topic Covered: Working with Time Series Data
Topic Covered: Designing Optimization Models
Topic Covered: Introduction to Business Analytics
Topic Covered: Introduction to R
Topic Covered: R Data Structure
Topic Covered: Apply Functions
Topic Covered: Data Visualization
Topic Covered: Introduction to Statistics
Topic Covered: Hypothesis Testing I
Topic Covered: Hypothesis Testing II
Topic Covered: Regression Analysis
Topic Covered: Classification
Topic Covered: Clustering
Topic Covered: Association
Topic Covered: Introduction to Big data and Hadoop Ecosystem
Topic Covered: HDFS and YARN
Topic Covered: MapReduce and Sqoop
Topic Covered: Basics of Hive and Impala
Topic Covered: Working with Hive and Impala
Topic Covered: Types of Data Formats
Topic Covered: Advanced Hive Concept and Data File Partitioning
Topic Covered: Apache Flume and HBase
Topic Covered: Pig
Topic Covered: Basics of Apache Spark
Topic Covered: RDDs in Spark
Topic Covered: Implementation of Spark Applications
Topic Covered: Spark Parallel Processing
Topic Covered: Spark RDD Optimization Techniques
Topic Covered: Spark SQL
Topic Covered: Apache Kafka
Topic Covered: Core Java
Topic Covered: Data Science
Topic Covered: Data Analytics
Topic Covered: Statistical Analysis and Business Applications
Topic Covered: Python Environment Setup and Essentials
Topic Covered: Mathematical Computing with Python (NumPy)
Topic Covered: Scientific computing with Python (Scipy)
Topic Covered: Data Manipulation with Pandas
Topic Covered: Machine Learning with Scikit–Learn
Topic Covered: Natural Language Processing with Scikit Learn
Topic Covered: Data Visualization in Python using matplotlib
Topic Covered: Web Scraping with BeautifulSoup
Topic Covered: Python integration with Hadoop MapReduce and Spark
Topic Covered: Python Basics
Topic Covered: Introduction to Business Analytics
Topic Covered: Formatting Conditional Formatting and Important Functions
Topic Covered: Analyzing Data with Pivot Tables
Topic Covered: Dashboarding
Topic Covered: Business Analytics With Excel
Topic Covered: Data Analysis Using Statistics
Topic Covered: Power BI
Topic Covered: Microsoft Power BI Desktop
Topic Covered: Microsoft Power BI Recipes
Topic Covered: Machine Learning Introduction
Topic Covered: Data Preprocessing
Topic Covered: Math Refresher
Topic Covered: Regression
Topic Covered: Classification
Topic Covered: Unsupervised learning – Clustering
Topic Covered: Introduction to Deep Learning
Topic Covered: Introduction to Artificial Intelligence and Machine Learning
Topic Covered: Python Programming for Beginners
Topic Covered: Python Django From Scratch
Topic Covered: Introduction to Deep Learning with TensorFlow
Topic Covered: Perceptrons
Topic Covered: Activation Functions
Topic Covered: Artificial Neural Networks
Topic Covered: Gradient Descent and Backpropagation
Topic Covered: Optimization and Regularization
Topic Covered: Intro to Convolutional Neural Networks
Topic Covered: Intro to Recurrent Neural Networks
Topic Covered: 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.
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