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Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Data Analysis - Introduction | - | |||
Delay Analysis in Construction | - | |||
Delay Analysis of Methods | - | |||
Data Analysis - Classification of Process-Based Delay Analysis Method | - | |||
Data Analysis - List of factors causes Schedule Delay | - | |||
Data Analysis - Project | - | |||
Data Analysis - Project Characteristics | - | |||
Data Analysis - History of Project Management | - | |||
Data Analysis - Analysis Using the Various Techniques | - | |||
Data Analysis - Main Principles for Analyzing Schedule Delays | - | |||
Data Analysis - Project Management | - | |||
Data Analysis - Elements of Project Management | - | |||
Data Analysis - Construction Project Management(CPM) | - | |||
Data Analysis - CPM Principles and Process | - | |||
Data Analysis - Project Life Cycle(PLC) | - | |||
Data Analysis - Major Types of Construction Projects | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Data Analysis - Legal Aspect of a Construction Project | - | |||
Data Analysis - Running R Code Markdown Documents | - | |||
Data Analysis - The YAML Language | - | |||
Data Analysis - Vectorized Expressions | - | |||
Data Analysis - Handling Conflicts | - | |||
Data Analysis - Neural Network | - | |||
Data Analysis - Leave-One-Out Cross-Validation | - | |||
Data Analysis - Unsupervised Learning | - | |||
Data Analysis - Types | - | |||
Data Analysis - Data Structures | - | |||
Data Analysis - Matrix | - | |||
Data Analysis - Fitting Models | - | |||
Data Analysis - Control Stataments | - | |||
Data Analysis - Loops | - | |||
Data Analysis - Testing and Package Checking | - | |||
Data Analysis - Version control | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Data Analysis - Environment Setup | - | |||
Data Analysis - Python - Introduction to Python | - | |||
Data Analysis - Python - Introduction to Python IDLE | - | |||
Data Analysis - Python - Basic Syntax Rules | - | |||
Data Analysis - Python - Numbers and Math Functions | - | |||
Data Analysis - Python - Operators | - | |||
Data Analysis - Python - Variables | - | |||
Data Analysis - Python - Modules and functions | - | |||
Data Analysis - Python - Input and Output | - | |||
Data Analysis - Python - String functions | - | |||
Data Analysis - Python Relational Databases | - | |||
Data Analysis - Python NoSQL Databases | - | |||
Data Analysis - Python Date and Time | - | |||
Data Analysis - Python Data Wrangling | - | |||
Data Analysis - Python Data Aggregation | - | |||
Data Analysis - Python Reading HTML Pages | - | |||
Data Analysis - Python Processing XLS Data | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Data Analysis - Python Processing Unstructued Data | - | |||
Data Analysis - Python Stemming and Lemmatization | - | |||
Data Analysis - Python Word Tokenization | - | |||
Data Analysis - Python Box Plots | - | |||
Data Analysis - Python Chart Properties | - | |||
Data Analysis - Python Chart Styling | - | |||
Data Analysis - Python Heat Maps | - | |||
Data Analysis - Python Bubble Charts | - | |||
Data Analysis - Python Scatter Plots | - | |||
Data Analysis - Python 3D Charts | - | |||
Data Analysis - Python Times Series | - | |||
Data Analysis - Python Geographical Data | - | |||
Data Analysis - Python Graph Data | - | |||
Data Analysis - Python Measuring Central Tendency | - | |||
Data Analysis - Python Measuring Variance | - | |||
Data Analysis - Python Normal Distribution | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Data Analysis - Python Binomial Distribution | - | |||
Data Analysis - Python Poisson Distribution | - | |||
Data Analysis - Python Bernoulli Distribution | - | |||
Data Analysis - Python P Value | - | |||
Data Analysis - Python Correlation | - | |||
Data Analysis - Python Chi Square Test | - | |||
Data Analysis - Python Linear Regression | - | |||
Data Analysis - in Big Data World | - | |||
Data Analysis - Data Science Process | - | |||
Data Analysis - Big data ecosystem | - | |||
Data Analysis - Applications for Machine Learning | - | |||
Data Analysis - Modeling Process | - | |||
Data Analysis - Python tools used in machine learning | - | |||
Data Analysis - Algorithms | - | |||
Data Analysis - Programming Languages | - | |||
Data Analysis - Future | - | |||
Data Analysis - Importance of SQL | - |
Topic | Text Material | Image content | Video content | Quiz |
---|---|---|---|---|
Data Analysis - Applications | - | |||
Data Analysis - Mathematics & Statistics | - | |||
Data Analysis - The Data Analysis Process | - | |||
Data Analysis - Numpy - Basic Opeartions | - | |||
Data Analysis - SAS | - | |||
Data Analysis - Numpy - Indexing, Slicing, and Iterating | - | |||
Data Analysis - Python - The Interpreter | - | |||
Data Analysis - Numpy - Conditions & Boolean Arrays | - | |||
Data Analysis - Numpy - General/Advanced concepts | - | |||
Data Analysis - Numpy - Structured Arrays | - | |||
Data Analysis - Numpy Installation | - | |||
Data Analysis - Python Pandas | - | |||
Data Analysis - Numpy - Array Manipulation | - | |||
Data Analysis - Read Write Array Data on Files | - | |||
Data Analysis - Python Numpy | - | |||
Data Analysis - Python Scipy | - | |||
Data Analysis - Pandas - Data Structures | - | |||
Data Analysis - Python Matplotlib | - | |||
Data Analysis - Pandas - Operations and Mathematical Functions | - | |||
Data Analysis - Need for Data Science | - | |||
Data Analysis - Pandas - Series as Dictionaries | - | |||
Data Analysis - Jobs | - |
Data Analysis is a process of inspecting, cleaning, transforming and modeling data with the goal of discovering useful information, suggesting conclusions and supporting decisionmaking.
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We have a lifetime 24x7 online support team to resolve all your technical queries, through a ticket based tracking system.
Successfully complete your final course project and Kaashiv will certify you as a Data Analysis Expert.
We have a community forum for all our learners that further facilitates learning through peer interaction and knowledge