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Premium Career Track - Chief Data Officer (CDO)

This program consists of courses that will help you acquire skills to aim for CDO position in a reputed organization. Learn data strategy & analytics.
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This Premium Career Track - Chief Data Officer (CDO) program by Uplatz includes the following courses:

1. Business Intelligence and Data Analytics

2. Build your Career in Data Science

3. CISSP (Cybersecurity)

4. Data Science with Python

5. Data Science with R

6. Data Visualization in Python

7. Data Visualization in R

8. Machine Learning (basic to advanced)

9. Deep Learning Foundation

10. SQL Programming with MySQL Database

11. Talend

12. SAP Data Services (BODS)

13. Tableau

14. Power BI

15. SAS BI

16. Google Analytics

17. MS Excel

18. Google Sheets

19. Cloud Computing Basics

20. SAP MDG (Master Data Governance)

 

The Chief Data Officer (CDO) is a senior executive responsible for managing and leveraging an organization's data assets to drive strategic decisions, business growth, and operational efficiency. The role of the CDO has become increasingly important with the rise of data-driven decision-making and the recognition of data as a valuable corporate asset.

 

What does a CDO do?

A Chief Data Officer supports good data operations or DataOps. DataOps is an emerging concept that takes a process-oriented, automated, and collaborative approach to design, implementing, and managing data workflows and a distributed data architecture.

A CDO oversees the collection, management, and storage of data across an organization. They are responsible for analyzing and deriving insights from data to inform business strategy and value. Chief data officers form part of a company's executive team.

 

Roles and Responsibilities of a CDO

Overseeing data management, data analytics, and data governance

Ensuring data quality

Spearheading data and information strategy

Create a data management system that facilitates the secure collection and processing of data.

Establish a culture within your organization that normalizes sharing this data and making informed decisions on how to improve future business outcomes.

Implement proper data analytics to identify and, hopefully, reduce pain points at all stages of the business process, increasing not only profit, but also trust in the eyes of stakeholders and clients.

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 - Build your Career in Data Science - all lectures

  • In this lecture about how to learn data science with a step by step explanation. This video will talk about the career path in data science specially from a fresher’s point of view. Further we will talk about the skills required to become a successful data scientist and also about the compensation of a data scientist. Lastly we will see the platforms and data science tools used to learn data science. This video also clarifies whether a person would need a degree for a successful career in data science.

    • 25:08
  • This video talk majorly about the data science career path. There are different career options in data science. You will know how attending a one-week duration bootcamps on data science will help you more over a 3 years’ degree. The courses are intended to make the student job ready and be equipped with the skills necessary for becoming a Data Scientist.

    • 18:41
  • In this session we learn about the importance and introduction for Data Science. In this video we will also talk about the different technologies in data science and strong foundations of R programming language. We will also see the jobs in data science and the types of jobs in data science. Furthermore, we will see prerequisites for data science and difference between BI and Data Science.

    • 54:03
  • In this lecture about how to learn data science with a step by step explanation. This video will talk about the career path in data science specially from a fresher’s point of view. Further we will talk about the skills required to become a successful data scientist and also about the compensation of a data scientist. Lastly we will see the platforms and data science tools used to learn data science. This video also clarifies whether a person would need a degree for a successful career in data science.

    • 43:49

Course/Topic 3 - CISSP - all lectures

  • In this lecture session we learn about the basics of cybersecurity and also cover basic functions and factors of cybersecurity in brief.

    • 1:10:40
  • In this lecture session we learn about CISSP certification guide and also talk about factors of CISSP certification guide in cybersecurity.

    • 33:09
  • In this lecture session we learn about cyber information systems security professional certification domain and talk about overview of domain in brief.

    • 2:19:49
  • In this lecture session we learn about CISSP exam preparation guide in cyber security and also talk about more guides for exam preparation.

    • 31:24
  • In this lecture session we learn about CISSP preparation techniques and also talk about cyber security function and importance.

    • 1:04:33
  • In this lecture session we learn about risk analysis in cyber information systems security professionals and also talk about risk analysis factors in brief.

    • 54:10
  • In this lecture session we learn about goals of risk analysis and also talk about risk analysis factors in cybersecurity in brief.

    • 39:20
  • In this lecture session we learn about cybersecurity goals the object of cybersecurity is to prevent the risk and also cover all types of goals in cyber security.

    • 22:03
  • In this lecture session we learn about types of cyber attacks in cybersecurity and also talk about how we prevent us from thes cyber attacks.

    • 15:54
  • In this lecture session we learn about types of cyber attackers in cybersecurity and also cover all attackers in brief.

    • 53:16
  • In this lecture session we learn about cybersecurity archival storage and also talk about storage factors in brief.

    • 54:48
  • In this lecture session we learn about cybersecurity VPNS and also talk about other VPNs of cybersecurity and importance of VPNs.

    • 54:04
  • In this lecture session we learn about cyber security standards in system security professionals and also talk about standard security.

    • 56:36
  • In this lecture session we learn about cyber security challenges in cyber security in cyber attacks.

    • 1:02:03
  • In this lecture session we learn about different mail service providers and also talk about mail service providers factors.

    • 1:11:00
  • In this lecture session we learn about the security and risk management domain and also talk about functions of security and risk management.

    • 59:12
  • In this lecture session we learn about the importance of security and risk management in brief.

    • 23:10
  • In this lecture session we learn about factors of security and risk management in brief.

    • 34:05
  • In this lecture session we learn about implementation of confidentiality and also talk about implementation of integrity in brief.

    • 27:33
  • In this lecture session we learn boat asset security domain and also talk about functions of asset security domain in brief.

    • 38:12
  • In this lecture session we learn about asset security domain importance and also talk about more security domains in brief.

    • 1:14:35
  • In this lecture session we learn about security architecture and engineering domain and also talk about factors of security architecture in brief.

    • 43:22
  • In this lecture session we learn about the function of security architecture and engineering domain in brief.

    • 26:10
  • In this lecture session we learn about governance, intelligence and also talk about operation and management.

    • 34:54
  • In this lecture session we learn about product ciphertext messages and also talk about the importance of security architecture and engineering domain.

    • 22:24
  • In this lecture session we learn about the fundamentals concept of security models and also talk about more concepts in brief.

    • 26:43
  • In this lecture session we learn about migration plans and perform migration and also talk about trust and assurance.

    • 12:34
  • In this lecture session we learn about generating, store and limit the use of cryptography keys.

    • 1:11:38
  • In this lecture session we learn about fire suppression systems in brief and also talk about fire sprinkler systems in cyber security.

    • 35:09
  • In this lecture session we learn about certified information system security professionals and also talk about what is cissp.

    • 26:36
  • In this lecture session we learn about cissp domain and also talk about why we need cissp in cyber security.

    • 33:35
  • In this lecture session we learn about the importance of cissp in security architecture and engineering.

    • 1:19:30
  • In this lecture session we learn about communication and network security and also talk about factors of communication and networks security.

    • 18:15
  • In this lecture session we learn about communication and networks security domain and also talk about functions of network security.

    • 38:59
  • In this lecture session we learn about deals with networks components related topics like networks models in cyber security.

    • 28:43
  • In this lecture session we learn about secure network components and also talk about factors of network components.

    • 29:52
  • In this lecture session we learn about components related topics like networks and also cover more topics in cyber security.

    • 1:37:35