Data Science Certification Course

Data Science Certification course is offered by ICAII Computer & IT Skill Enhancement Institute. Computer & IT Skill Enhancement is an essential requirement of the time, as more and more young students and Industry professionals need to be abreast with the latest IT technology and digital platforms.

Content:

• Introduction To Data Science
• Defining Data Science
• What Does a Data Science Professional Do?
• Data Science in Business
• Data Science People
• The fundamentals of descriptive statistics
• Measures of central tendency, asymmetry, and variability
• Distributions
• Estimators and estimates
• Inferential statistics
• Hypothesis testing
• Regression Analysis
• Dealing with categorical data
• R Programming
• Introduction to R basics
• Data structures in R
• Basics of R Programming
• Working with Data in R
• Stings and Dates in R
• Introduction to Business Analytics
• Data Structures
• Data Visualization
• Statistics for Data Science
• Classification
• Clustering
• Association
• Data Science With Python
• Python Basics
• Python Data Structures
• Python Programming Fundamentals
• Working with NumPy arrays
• Data Science Overview
• Data Analytics Overview
• 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
• Machine Learning
• Introduction to Artificial Intelligence and Machine Learning
• Data Wrangling and Manipulation
• Supervised Learning
• Feature Engineering
• Supervised Learning-Classification
• Unsupervised learning
• Time Series Modelling
• Ensemble Learning
• Recommender Systems
• Text Mining
• Tableau
• Getting Started with Tableau
• Working with Tableau
• Deep diving with Data and Connections
• Creating Charts
• Adding calculations to your workbook
• Mapping data in Tableau
• Dashboards and Stories
• Visualizations for An Audience
• Big Data Hadoop And Spark Developer
• Introduction to Big Data and Hadoop Ecosystem
• HDFS and Hadoop Architecture
• Map Reduce and Sqoop
• Basics of Impala and Hive
• Working with Hive and Impala
• Type of Data Formats
• Advanced HIVE concept and Data File Partitioning
• Apache Flume and HBase
• Apache Pig
• Basics of Apache Spark
• RDDs in Spark
• Implementation of Spark Applications
• Spark Parallel Processing
• Spark RDD Optimization Techniques
• Spark Algorithm
• Spark SQL
• Data Science Project Work
• Data Processing
• Model Building
• Model Fine-tuning
• Dashboarding and Representing Results