- 8108186370 (Kalyan) / 8108186370 (Thane)
- info@ifuturetechnologies.in
SQL - INTRODUCTION TO SQL
HOW DOES RDBMS WORK?
SQL PROCEDURES
SPECIFYING COLUMNS
SPECIFYING ROWS
PRESENTING DATA
SUMMARIZING DATA
WRITING JOIN QUERIES USING SQL
WORKING WITH SUBQUERIES
INDEXES AND VIEWS
SET OPERATORS
CREATING TABLES & VIEWS USING PROC SQL
INTRODUCTION TO MACRO VARIABLES
AUTOMATIC MACRO VARIABLE
USER DEFINED MACRO VARIABLES
MACRO VARIABLE REFERENCE
DEFINING AND CALLING MACROS
MACRO PARAMETERS
GLOBAL AND LOCAL SYMBOL TABLE
CREATING MACRO VARIABLES IN THE DATA MODULE
INTRODUCTION ,
SAMPLE OR POPULATION DATA ,
THE FUNDAMENTALS OF DESCRIPTIVE
STATISTICS ,
MEASURES OF CENTRAL TENDENCY,
ASYMMETRY, AND VARIABILITY
PRACTICAL EXAMPLE: DESCRIPTIVE STATISTICS
DISTRIBUTIONS ESTIMATORS AND ESTIMATES
CONFIDENCE INTERVALS: ADVANCED TOPICS
PRACTICAL EXAMPLE: INFERENTIAL STATISTICS
INDEXES AND VIEWS
SET OPERATORS
CREATING TABLES & VIEWS USING PROC SQL
INTRODUCTION HYPOTHESIS TESTING: LET’S START TESTING! ,
PRACTICAL EXAMPLE: HYPOTHESIS TESTING, THE FUNDAMENTALS OF REGRESSION ANALYSIS
SUBTLETIES OF REGRESSION ANALYSIS ,
ASSUMPTIONS FOR LINEAR REGRESSION ANALYSIS,
DEALING WITH CATEGORICAL DATA
PRACTICAL EXAMPLE: REGRESSION ANALYSIS
R BASICS,
DATA STRUCTURES IN R,
R PROGRAMMING FUNDAMENTALS ,
WORKING WITH DATA IN R,
STINGS AND DATES IN R
INTRODUCTION TO BUSINESS ANALYTICS,
INTRODUCTION TO R PROGRAMMING,
DATA STRUCTURES, DATA VISUALIZATION
STATISTICS FOR DATA SCIENCE I,
STATISTICS FOR DATA SCIENCE II ,
REGRESSION ANALYSIS,
CLASSIFICATION, CLUSTERING
ASSOCIATION
PYTHON BASICS,
PYTHON DATA STRUCTURES,
PYTHON PROGRAMMING FUNDAMENTALS ,
WORKING WITH DATA IN PYTHON
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 BEAUTIFUL SOUP ,
PYTHON INTEGRATION WITH HADOOP
MAPREDUCE AND SPAR
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
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
INTRODUCTION TO NATURAL LANGUAGE
PROCESSING
FEATURE ENGINEERING ON TEXT DATA,
NATURAL LANGUAGE UNDERSTANDING
TECHNIQUES,
NATURAL LANGUAGE GENERATION,
NATURAL LANGUAGE PROCESSING LIBRARIES,
NATURAL LANGUAGE PROCESSING WITH
MACHINE LEARNING AND DEEP LEARNING ,
SPEECH RECOGNITION TECHNIQUE
VISUALIZATIONS FOR AN AUDIENC
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