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Premium Career Track - Chief Operating Officer (COO)

Learn about business vision, leadership, management, strategy to ensure that the business has effective people, operational controls & administration.
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Save 80% Offer ends on 31-Oct-2024
Course Duration: 400 Hours
Preview Premium Career Track - Chief Operating Officer (COO) course
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This Premium Career Track - Chief Operating Officer (COO) program by Uplatz includes the following courses: 

1. Business Intelligence and Data Analytics

2. SAP BPC (Business Planning and Consolidation)

3. SAP PP (Production Planning)

4. SAP QM (Quality Management)

5. SAP S/4HANA Logistics

6. SAP MDG (Master Data Governance)

7. SAP GRC (Governance Risk Compliance)

8. Leadership and Management

9. Fundamentals of Project Management

10. Product Management

11. Business Finance and Financial Modeling

12. Financial Accounting and Reporting

13. Cost and Management Accounting

 

Who is a Chief Operating Officer?

A Chief Operating Officer (COO) is a top-level executive in an organization responsible for overseeing the day-to-day operations and ensuring the efficient and effective execution of the company's business strategies. The COO is typically second-in-command, reporting directly to the Chief Executive Officer (CEO) or the President. They handle the day-to-day administration and operation of a business. With the proper training, experience, and skills, an individual can fill this role in a variety of organizations, such as a for-profit business, non-profit organization, government entity, or school. The COO typically has overall supervisory responsibility for all of the entity's operations.

A COO may alternatively be called Vice President of Operations. As second in command to the CEO, the COO position is tasked with providing leadership, management, and vision to ensure that the business has effective people, operational controls, and administrative and reporting procedures in place. The COO must help effectively grow the company and ensure its financial strength and operating efficiency.

 

What does a Chief Operating Officer do?

The chief operating officer of a company is second in command. This professional reports to the chief executive officer (CEO) with a focus on operationalizing strategy. While a CEO is concerned with long-term business goals, the COO is tasked with implementing daily operations, aligned with that goal and the company’s strategies. His or her individual role depends largely on the company itself and the CEO’s personal style. In many cases, the COO is chosen specifically to complement the strengths and weaknesses of the CEO, or to work in tandem to bring the best leadership to the forefront.

 

Roles and Responsibilities:

Collaborate with the CEO in setting and driving organizational vision, operational strategy, and hiring needs

Translate strategy into actionable goals for performance and growth helping to implement organization-wide goal setting, performance management, and annual operating planning

Oversee company operations and employee productivity, building a highly inclusive culture ensuring team members thrive and organizational outcomes are met

Ensure effective recruiting, onboarding, professional development, performance management, and retention

Adhere to company, federal, state, and local business requirements, enforcing compliance and taking action when necessary

Maintain and build trusted relationships with key customers, clients, partners, and stakeholders

 

Key skills required

Bachelor’s degree in business administration, or related field

5+ years’ experience in executive leadership positions

Leadership skills, with steadfast resolve and personal integrity

Understanding of advanced business planning and regulatory issues

A solid grasp of data analysis and performance metrics

Be able to diagnose problems quickly and have foresight into potential issues

Course/Topic 1 - Business Intelligence and Data Analytics - all lectures

  • In this lecture session we discuss about Bi concepts, examples and application of business intelligence and data analytics and also cover other concepts of BI.

    • 14:48
  • In this lecture session we learn about basic concepts of BI and also cover factors of business intelligence in brief.

    • 19:22
  • In this lecture session we learn about data warehouse data access and data dashboarding and also cover presentation in BI.

    • 24:10
  • In this lecture session we learn about product database, advertise database and customer demographic database and also cover data analyst concepts.

    • 19:54
  • In this lecture session we learn about basic introduction of business intelligence and also cover factors of business intelligence in brief.

    • 31:10
  • In this lecture session we learn about introduction of predictive modeling and also cover functions of predictive modeling in brief.

    • 1:05:08
  • In this lecture session we learn about data related to customer services and also talk about customer relation databases in brief.

    • 32:37
  • In this lecture session we learn about introduction of NoSQL and also cover basic functions of NoSQL in business intelligence.

    • 33:46
  • In this lecture session we learn about graph stores and also talk about the advantages and disadvantages of graph stores in BI.

    • 25:52
  • In this lecture session we learn about hierarchical clustering in business intelligence and also talk about clustering factors in BI.

    • 29:58
  • In this lecture session we learn about introduction of salesforce in business intelligence and also talk about some basic uses of salesforce.

    • 34:25
  • In this lecture session we learn about introduction to NLP and also cover what is natural language processing in artificial intelligence.

    • 18:30
  • In this lecture session we learn about natural language processing speech to text conversion and also cover the importance of natural language processing.

    • 25:22
  • In this lecture session we learn about introduction of apache server in business intelligence and also talk about basics of apache server.

    • 44:24
  • In this lecture session we learn about deep drive into business intelligence and also talk about factors or deep drive in business intelligence.

    • 30:54
  • In this lecture session we learn about data warehousing in business intelligence and data analytics and also talk about factors and features of data warehousing.

    • 39:54
  • In this lecture session we learn about types of data in business intelligence and also talk about different types of data in BI.

    • 25:07
  • In this lecture session we learn about mobile BI and also talk about open source BI software replacing vendor offering.

    • 39:18
  • In this lecture session we learn about real time BI in business intelligence and also talk about factors of real time BI in brief.

    • 1:35:17
  • In this lecture session we learn about data analytics comprehensively and also talk about functions of data analytics.

    • 23:43
  • In this lecture session we talk about data analytics vs business analytics and also talk about the importance of data analytics.

    • 41:04
  • In this lecture session we learn about Embedded analytics and also talk about functions of Embedded analytics in data analytics.

    • 1:02:55
  • In this lecture session we learn about collection analytics and also cover the importance of collection analytics.

    • 59:03
  • In this lecture session we learn about survival analytics and also cover duration analytics in brief.

    • 29:35
  • In this lecture session we learn about machine learning techniques and also cover the importance and factors of machine learning techniques in business intelligence.

    • 37:34
  • In this lecture session we learn about geospatial predictive analytics and also talk about functions of geospatial predictive analytics in business intelligence.

    • 1:01:31
  • In this lecture session we learn about cohort analysis in data analyst and we also cover functions and importance of cohort analysis.

    • 21:36
  • In this lecture session we learn about data mining in business intelligence and also talk about data mining functions and why we need data mining in business intelligence.

    • 45:40
  • In these lecture sessions we learn about anomaly detection and also talk about functions of anomaly detection in brief.

    • 1:00:36
  • In these lecture sessions we learn about statistically sound association and also talk about factors of statistically sound association in business intelligence.

    • 31:29
  • In this lecture session we learn about cluster analysis. We’ll cover all types of cluster analysis in brief and also cover the importance of cluster analysis in business analysis.

    • 36:21
  • In this lecture session we learn about DBSCAN in business intelligence and also talk about DBSCAN functions and importance.

    • 59:58
  • In this lecture session we learn about regression models in business intelligence and also talk about the function of regression models.

    • 31:57
  • In this lecture session we learn about extraction based summarization in business intelligence and also cover all types of summarization in data analyst.

    • 10:57
  • In this lecture session we learn about machine learning in BI and also talk about factors and importance of machine learning in brief.

    • 1:00:50
  • In this lecture session we learn about machine learning vs BI we also discuss the basic difference between machine learning and business intelligence.

    • 1:15:37
  • In this lecture session we learn about how ml can make BI better and also talk about ml basic functions.

    • 1:18:01
  • In this lecture session we learn about data warehousing and also talk about how we manage data warehousing in business intelligence.

    • 18:28
  • In this lecture session we learn about data warehousing in business intelligence and data analytics and also talk about factors and features of data warehousing.

    • 29:22
  • In this lecture session we learn about data mart in business intelligence and also talk about data mart function.

    • 32:40
  • In this lecture session we learn about data dimensions in business intelligence and also cover all types of data dimension in BI.

    • 30:31
  • In this lecture session we learn about data dimension in business intelligence and also cover functions and importance of data dimension.

    • 24:02
  • In this lecture session we learn about data vault modeling in business intelligence and also cover different types of vault modeling in brief.

    • 29:14
  • In this lecture session we learn about links and satellites and also cover the importance and factors of links and satellites in business intelligence.

    • 28:59

Course/Topic 2 - SAP BPC Classic - all lectures

  • In this lecture session we learn about introduction to SAP BPC classic module in SAP and also talk about features of SAP BPC classic.

    • 1:26:59
  • In this lecture session we learn about environment and dimensions management in SAP BPC and also talk about functions of environment and dimension management in brief.

    • 2:08:01
  • In this lecture session we learn about features of environment and dimensions management and also talk about the importance of dimensions management.

    • 2:44:19
  • In this lecture session we learn about model creation in SAP BPC Classic and also talk about features of models creation in brief.

    • 1:06:34
  • In this lecture session we learn about how we create a model in brief and also talk about features of models creation in SAP BPC classic.

    • 1:02:11
  • In this lecture session we learn about hierarchy in BPC classic and also talk about functions of hierarchy in SAP BPC classic.

    • 1:08:07
  • In this lecture session we learn about business object planning and consolidation in model creation and also talk about the function of model creation in SAP BPC classic.

    • 51:35
  • In this lecture session we learn about BPC security RFC connection EPM add in SAP BPC Classic and also talk about features of BPC security in brief.

    • 1:09:12
  • In this lecture session we learn about the new data access profile in SAP BPC classic and also talk about function of BPC security.

    • 52:02
  • In this lecture session we learn about data loading data manager and transformation master and also talk about upload download flat file in SAP BPC classic.

    • 1:13:04
  • In this lecture session we learn about data loading in SAP BPC data manager and also talk about features of transformation master in SAP.

    • 58:25
  • In this lecture session we learn about data loading functions and also talk about organize run packages in SAP BPC Classic.

    • 1:00:15
  • In this lecture session we learn about features of data loading data manager transformation and also talk about the importance of organizing run packages.

    • 55:37
  • In this lecture session we learn about conversion transaction data in data loading and also talk about features of transformation in brief.

    • 1:03:51
  • In this lecture session we learn about conversion transaction data in data loading and also talk about features of how we manage data.

    • 1:00:19
  • In this lecture session we learn about data manager packages transaction data in transformation conversion in brief.

    • 58:27
  • In this lecture session we learn about data manager packages and also talk about features of conversion of transaction data.

    • 1:00:38
  • In this lecture session we learn about transformation conversion in data manager packages and also talk about features of SAP BPC transaction data.

    • 56:13
  • In this lecture session we learn about features of data manager packages in transformation and conversion and also talk about function of data manager.

    • 41:09
  • In this lecture session we learn about data loading and also talk about package links in transaction data reporting in SAP BPC.

    • 53:11
  • In this lecture session we learn about data manager and also talk about package links in transaction in data reporting.

    • 32:42
  • In this lecture session we learn about multi and axis sharing reports and also talk about input forms EPM in SAP BPC.

    • 1:05:15
  • In this lecture session we learn about multi and axis sharing reports input forms and output forms in sharing reports.

    • 1:29:10
  • In this lecture session we learn about publishing books drill through web reporting in journals backup restore in SAP BPC.

    • 1:12:18
  • In this lecture session we learn about drill through and also talk about web reporting and also talk about features of backups restore.

    • 2:10:18
  • In this lecture session we learn about script logics in SAP PBC Classic and also talk about script logis in journal backup restore.

    • 1:49:20
  • In this lecture session we learn about script logics in SAP BPC and also talk about features of script logics in brief.

    • 1:37:55
  • In this lecture session we learn about consolidation and ownership in SAP BPC Classic and also talk about features of consolidation and ownership in brief.

    • 1:14:02
  • In this lecture session we learn about consolidation and ownership in SAP BPC and also talk about features consolidation and ownership in brief.

    • 1:19:52

Course/Topic 3 - SAP PP course - all lectures

  • Lecture 1 - SAP PP Introduction

    • 35:26
  • Lecture 2 - Master Data in PP

    • 35:04
  • Lecture 3 - Configuration Settings for Master Data - part 1

    • 35:18
  • Lecture 4 - Configuration Settings for Master Data - part 2

    • 58:22
  • Lecture 5 - Material Master - part 1

    • 42:43
  • Lecture 6 - Material Master - part 2

    • 51:33
  • Lecture 7 - BOM in PP

    • 39:10
  • Lecture 8 - Work Center in PP

    • 36:16
  • Lecture 9 - PRT and Routing

    • 41:28
  • Lecture 10 - Production Version and Different Types of Scrap

    • 45:07
  • Lecture 11 - Scraps - Assembly and Component and Operation

    • 31:48
  • Lecture 12 - MRP Planning and Consumption-based Planning

    • 20:48