ICP-LEA Certification Training

The ICAgile Leading with Agility (ICP-LEA) certification training is a two-day program provided remotely or as an in-person workshop. This program offers essential leadership skills to individuals and makes them ready to respond to various market and economic forces with unique leadership thinking. In fact, this certification makes you the leader of an Agile field with the ability to tackle problems in complex Agile environments.

ICP-LEA Certification Training

The ICAgile Leading with Agility (ICP-LEA) certification training is a two-day program provided remotely or as an in-person workshop. This program offers essential leadership skills to individuals and makes them ready to respond to various market and economic forces with unique leadership thinking. In fact, this certification makes you the leader of an Agile field with the ability to tackle problems in complex Agile environments.

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Course Overview

This course teaches SQL syntaxes shared by many types of RDBMS. This course covers everything that a data scientist needs to know to begin working with databases today! Python - Open source, highly flexible, large number of libraries and easy-to-learn. Python for Data Science course prepares you with  Python Programming capabilities for Data Manipulation, Exploratory Data Analysis and Data Visualization which are an absolute must for being a Data Science expert.

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Key Features

Learning Objectives

Why Become Data Scientist?

SQL has become a very important tool for the data scientists since it is helps in fetching, updating, inserting, manipulating and modifying data from data sources like RDBMS or datawarehouses. Without having knowledge in SQL a data scientist has to rely on others to get the data for them. Python is the most common coding language typically required in data science roles. Because of its versatility, a data scientist  can use Python for almost all the steps involved in data science processes. It can take various formats of data and easily import SQL tables into the Python code. Python comes with various Statistical, Machine Learning & Deep Learning libraries that can help a data scientist perform almost all tasks he/she needs.

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Curriculum

SQL

Fundamentals of SQL syntaxes to perform DDL, DML Indexes, sorting & complex joins with inner join, left join, right join

Basics of Python
Learn to install Anaconda - Python distribution. Explore Python language fundamentals, including basic syntax, variables, and types
Data Structures
Learn about the different data structures that Python can handle. Create and manipulate regular Python lists, tuple etc.
Conditional Statements
Learn about control and loops statements
Packages & Functions
Learn to write user defined functions. import packages for various functionalities
Analyzing Data
Manipulate and analyze dataset in Python using Pandas. Build Numpy arrays, and perform interesting calculations
Data Visualization
Use various Python libraries to visualize data. Create and customize plots on real data
Frequently asked question 4
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Frequently asked question 1
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sit amet placerat sapien. Suspendisse potenti. Nullam feugiat blandit mauris, non fringilla urna ultrices vel. Donec id urna consectetur, pellentesque libero rutrum, congue massa.
Frequently asked question 2
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sit amet placerat sapien. Suspendisse potenti. Nullam feugiat blandit mauris, non fringilla urna ultrices vel. Donec id urna consectetur, pellentesque libero rutrum, congue massa.
Frequently asked question 3
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sit amet placerat sapien. Suspendisse potenti. Nullam feugiat blandit mauris, non fringilla urna ultrices vel. Donec id urna consectetur, pellentesque libero rutrum, congue massa.
Frequently asked question 4
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sit amet placerat sapien. Suspendisse potenti. Nullam feugiat blandit mauris, non fringilla urna ultrices vel. Donec id urna consectetur, pellentesque libero rutrum, congue massa.
Have any queries? Feel free to get clarity!  

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    Certification Process

    01

    Attend the 2-Day training program by Certified Scrum Trainers (CSTs)

    02

    Upon course completion, you will receive an email from Scrum Alliance to register online

    03

    Login with given username and create your password

    04

    Proceed by clicking “Take CSM test”

    05

    Obtain minimum score to pass the test

    06

    Login to Scrum Alliance and complete online evaluation

    07

    Download the certificate from certification dashboard

    08

    Become a member of the Scrum Alliance for two years

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    Key Points

    FAQs

    Training FAQ's

    SQL

    Fundamentals of SQL syntaxes to perform DDL, DML Indexes, sorting & complex joins with inner join, left join, right join

    Basics of Python
    Learn to install Anaconda - Python distribution. Explore Python language fundamentals, including basic syntax, variables, and types
    Data Structures
    Learn about the different data structures that Python can handle. Create and manipulate regular Python lists, tuple etc.
    Conditional Statements
    Learn about control and loops statements

    Day 2

    Packages & Functions
    Learn to write user defined functions. import packages for various functionalities
    Analyzing Data
    Manipulate and analyze dataset in Python using Pandas. Build Numpy arrays, and perform interesting calculations
    Data Visualization
    Use various Python libraries to visualize data. Create and customize plots on real data
    Frequently asked question 4
    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sit amet placerat sapien. Suspendisse potenti. Nullam feugiat blandit mauris, non fringilla urna ultrices vel. Donec id urna consectetur, pellentesque libero rutrum, congue massa.

    Day 3

    Frequently asked question 1
    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sit amet placerat sapien. Suspendisse potenti. Nullam feugiat blandit mauris, non fringilla urna ultrices vel. Donec id urna consectetur, pellentesque libero rutrum, congue massa.
    Frequently asked question 2
    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sit amet placerat sapien. Suspendisse potenti. Nullam feugiat blandit mauris, non fringilla urna ultrices vel. Donec id urna consectetur, pellentesque libero rutrum, congue massa.
    Frequently asked question 3
    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sit amet placerat sapien. Suspendisse potenti. Nullam feugiat blandit mauris, non fringilla urna ultrices vel. Donec id urna consectetur, pellentesque libero rutrum, congue massa.
    Frequently asked question 4
    Lorem ipsum dolor sit amet, consectetur adipiscing elit. Morbi sit amet placerat sapien. Suspendisse potenti. Nullam feugiat blandit mauris, non fringilla urna ultrices vel. Donec id urna consectetur, pellentesque libero rutrum, congue massa.

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