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Thinking Strategically & Managing Risks

Name: Thinking Strategically & Managing Risks
SKU: ast_01_a01_bs_enus

SKU ast_01_a01_bs_enus

The most successful managers are those who are able to think strategically and understand planning for risks. This course discusses the common strategic thinking skills that managers need, it provides tools for analyzing opportunities, and outlines problems from a broad perspective for understanding connections within the organization, its strategic goals, and business environment. To resolve many of the threats and challenges that an organization will likely have to face, it’s essential that you develop a business strategy that incorporates a clear vision, new ideas, and innovative solutions.

Course Details:

This course explores the characteristics of strategic thinking, as well as the traits needed to plan and implement an effective strategy.

It also covers how to develop your capacity for thinking strategically through Creative Thinking, being prepared to deal with complexity, and being aware of what's going on inside and outside your organization.

This course contains 34 modules (Total Time: up to 3hrs):

Thinking Strategically as a Manager
1. Strategic Thinking Characteristics
2. Strategic Thinker Traits
3. Developing a Clear Vision
4. Being Creative
5. Dealing with Complexity
6. Knowing What's Going On
7. Developing Strategic Thinking Skills
Using Strategic Thinking to Consider the Big Picture
1. Elevating Your Perspective
2. Understanding Paradoxes
3. Understanding Causality
4. Considering External Factors
5. Considering Internal Factors
6. Assessing Value & Supply Chains
7. Developing a Big Picture View
Identifying Risks in Your Organization
1. Considering Internal & External Risks
2. Using Brainstorming & Interviews
3. Using Reviews, Analysis, and the Delphi Technique
4. Planning a Brainstorming Session
5. Dealing with Brainstorming Challenges
6. Understanding How to Identify Risks
Assessing Your Organization's Risks
1. Key Risks Assessment Concepts
2. Opportunity & Threat Assessment Techniques
3. Combined Assessment Techniques
4. Performing an Opportunity Assessment
5. FMEA Threat Assessment: Assigning Rankings
6. FMEA Threat Assessment: RPN & Risk Prioritization
7. Performing a Risk Assessment
Responding Effectively to Risks
1. Avoiding Threats
2. Transferring Threats
3. Mitigating Threats
4. Accepting Threats
5. Responding to Opportunities Effectively
6. Contingency Response Strategies
7. Responding to Risks
Returning to Core Competencies
Competitive Awareness & Strategy

Digital Product Notice:

This is a Digital Product!
After course purchase, you'll receive your credentials via email to access the online Student Portal to view your course material.

Refund/Exchange Policy:

Our online courses are digital products that will be delivered via online access through our Student Portal.

Digital products are ineligible for refunds or exchanges.

Course ID Code:

ID: [ast_01_a01_bs_enus] -to- [_pc_ch_lach022]

*to be used for course registration*

Recommended Experience:

Beginner Level

This course is suitable for everyone, including students, professionals, and enthusiasts.

Flexible Schedule

Learn at your own pace!

Certificate of Completion

Earn a Professional Career Certification from the State University of New York.

Course
Overviews & Objectives

Install Anaconda Python on Windows & MacOS
Execute commands on the Python shell.
Perform basic math operations.
Execute arithmetic operations on variables.
Work with built-in functions.
Create & use complex data types (lists, tuples, sets, etc.)
Perform type conversions.
Create strings with various quotes.
How to perform basic math and logical operations in Python.
Create Python variables and see how you can assign and access values stored in these variables.
Use built-in functions in the core Python programming language to perform simple calculations and operations.
Explore strings in Python work, creating strings using single, double, and triple quotes depending on the use case.
Examine the use of complex data types, such as lists, tuples, sets, and dictionaries.
When you're finished with this course, you'll be able to execute simple Python commands on Jupyter notebooks.

Overview:

In Module #1, you'll learn the basics of Python and its philosophy, setting up Python, and writing a basic program with built-in data types, loops, and conditionals.

Objectives:

Setting Up
A Basic Program
Data Types
Sequence Types
Collection & Mapping Types in Python
Loops & Conditionals
Practice: Writing a Python Program

Overview:

Python is a lot more than a scripting language, and can be used to create OOP applications using classes, or using a functional paradigm.

This module covers some of the ways Python programs can execute. You'll learn about building your own custom functions and classes, and documentation and file handling.

Objectives:

Modules & Functions
Classes
Documenting Code
Files
Practice: Creating Classes

Course
Overviews & Objectives

Install Anaconda Python on Windows & MacOS
Execute commands on the Python shell.
Perform basic math operations.
Execute arithmetic operations on variables.
Work with built-in functions.
Create & use complex data types (lists, tuples, sets, etc.)
Perform type conversions.
Create strings with various quotes.
How to perform basic math and logical operations in Python.
Create Python variables and see how you can assign and access values stored in these variables.
Use built-in functions in the core Python programming language to perform simple calculations and operations.
Explore strings in Python work, creating strings using single, double, and triple quotes depending on the use case.
Examine the use of complex data types, such as lists, tuples, sets, and dictionaries.
When you're finished with this course, you'll be able to execute simple Python commands on Jupyter notebooks.

Overview:

In Module #1, you'll learn the basics of Python and its philosophy, setting up Python, and writing a basic program with built-in data types, loops, and conditionals.

Objectives:

Setting Up
A Basic Program
Data Types
Sequence Types
Collection & Mapping Types in Python
Loops & Conditionals
Practice: Writing a Python Program

Overview:

Python is a lot more than a scripting language, and can be used to create OOP applications using classes, or using a functional paradigm.

This module covers some of the ways Python programs can execute. You'll learn about building your own custom functions and classes, and documentation and file handling.

Objectives:

Modules & Functions
Classes
Documenting Code
Files
Practice: Creating Classes

Frequently Asked Questions

You will receive a username & password to access the Student Portal and view your course material.

Please allow 24-48 hours for your student registration and credentials to be assigned.
Upon course completion, you will be mailed a Professional Career Certification from the State University of New York.

Thinking Strategically & Managing Risks

Course Details:

Digital Product Notice:

Refund/Exchange Policy: