KaaShiv's Training Program will provide you with in-depth knowledge in Data Analysis

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Course Content

5 Days

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 | - |

10 Days

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 | - |

15 Days

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 | - |

20 Days

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 | - |

1 Month

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 | - |

2 Months / 6 Weeks

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.

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

S

Sundar Manikandan

S

Surya Maharajan

A

A Anand

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