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Skillfloor offers a comprehensive data science course for managers designed to equip learners with essential skills and knowledge in the field. This data science certification program covers a wide range of topics, including statistical analysis, machine learning algorithms, data visualization techniques, and programming languages like Python and R. The curriculum is structured to provide hands-on experience through practical exercises and real-world projects, ensuring that students gain practical skills that are applicable in various industries. With a focus on both theoretical concepts and practical applications, this data science course is ideal for individuals looking to kickstart their career in data science or enhance their existing skill set.

These data science course stands out among other courses for data science with their emphasis on practical learning and industry-relevant skills. Upon completion of the data science certificate course, students will have a solid foundation in data analysis, predictive modelling, and data-driven decision-making. The program also offers opportunities for networking and mentorship, allowing students to connect with industry professionals and gain valuable insights into the field. Whether you're a beginner or an experienced professional, this data science course provides the tools and knowledge needed to succeed in the growing field of data science.




Skill Level



1-month Unpaid

Live Project




Live Training


Career Assistance


Expiry Period

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Course Highlights

  • Introduction to Data Science: Offers a foundational understanding of data science concepts, tools, and applications, emphasizing their relevance in solving real-world business problems.

  • Data Management: Covers techniques and best practices for data collection, storage, and retrieval, ensuring data quality and accessibility for analysis.

  • Statistical Analysis: Introduces statistical methods and their application in data analysis to derive meaningful insights from data sets.

  • Machine Learning Fundamentals: Explores basic principles of machine learning, including supervised and unsupervised learning models, and their implementation in data science projects.

  • Data Visualization: Teaches the creation of intuitive and informative visual representations of data to aid in decision-making and communication of findings.

  • Big Data Technologies: Provides an overview of technologies and tools used to process and analyze large volumes of data, such as Hadoop and Spark.

  • Project Management for Data Science: Focuses on the application of project management principles in data science projects, including planning, execution, and delivery within time and budget constraints.

  • Ethical Considerations in Data Science: Addresses the ethical implications of data collection and analysis, emphasizing privacy, consent, and responsible use of data.

  • Communication and Leadership Skills: Enhances leadership and communication skills, critical for managing data science teams and projects, and for translating technical findings to non-technical stakeholders.

  • Capstone Project: Offers hands-on experience with a real-world project, allowing participants to apply learned concepts and tools to solve a business problem from start to finish.



After you complete the course with Skillfloor, you will receive a certification from The Data Science Certified Manager (DSCM) certification equips individuals with the knowledge and skills required to navigate complex datasets, extract valuable insights, and transform data into actionable strategies. It is designed for professionals looking to advance their careers in data science management and is recognized as a valuable credential in the field.

The DSCM certification focuses on areas such as data analysis, data-driven decision-making, and strategic data management. Completing this certification demonstrates expertise in handling data for managerial roles and provides a competitive advantage in the data science job market.


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Top 10 reasons

  1. Certification: Obtain the respected title of Data Science Certified Manager certification, proving your capacity to manage and direct teams and projects in data science.

  2. Managerial abilities: Develop the fundamental managerial abilities that are necessary to lead effective data science initiatives, such as stakeholder communication, team management, and project planning.

  3. Decision-making: Learn about the strategic decision-making processes involved in data science initiatives so that you can match them with the aims and objectives of your company.

  4. Learn from experts: Learn from seasoned business experts who have successfully managed data science projects in the past to obtain insightful knowledge and best practices.

  5. Career: Improve your chances of landing a job by learning specialized skills that employers are looking for in leaders with data-driven decision-making expertise.

  6. Learning community: Become a part of a peer-led and mentor-supported learning community that fosters cooperation and knowledge exchange around data science management techniques.

  7. Customised learning: Get individualised advice and criticism from knowledgeable teachers to guarantee a customised learning process that fits your unique managerial objectives.

  8. Tools and technology: Get access to state-of-the-art information and tools, like as analytics platforms and project management frameworks, to enhance your comprehension of data science management principles.

  9. Networking: Join a network of other data science managers and experts to broaden your horizons, find new prospects for employment, and establish joint ventures.

  10. leadership positions: Equipped with the knowledge and abilities to foster creativity and achieve success in data-driven decision-making, get ready to flourish in leadership positions within data science teams and organisations.


  •  Overview of Data Science and its significance in business decisions.

  •  Understanding the role of a Data Science Manager.

  •  The lifecycle of Data Science projects.

  •  Developing a data strategy aligned with business goals.

  •  Data governance, quality, and privacy.

  •  Building and managing data teams.


  •  Introduction to statistical analysis and probability.

  •  Exploratory data analysis (EDA).

  •  Basics of data visualization.


  •  Overview of machine learning (ML) and its business applications.

  •  Understanding supervised and unsupervised learning models.

  •  Model evaluation and selection.


  •  Agile and Scrum methodologies in data science projects.

  •  Project planning and milestone setting.

  •  Risk management and mitigation in data science projects.

  •  Introduction to big data technologies.

  •  Big data analytics and its impact on business strategy.

  •  Integrating big data into the data science strategy.


  •  Predictive analytics and its business applications.

  •  Introduction to neural networks and deep learning.

  •  Natural language processing (NLP) for business insights.



The time it takes to become certified varies depending on the program and your prior knowledge, but it typically takes several months to a year of study and preparation.


A data science certified manager is someone who has completed a recognized certification program in data science management, demonstrating their proficiency in leading data-driven initiatives and teams.

Obtaining certification as a data science manager can validate your skills, enhance your credibility, and increase your job prospects in fields where data-driven decision-making and leadership are essential.


To become certified, you typically need to complete specific training courses, gain hands-on experience in data science management, and pass an exam that tests your knowledge of data science leadership concepts.

Skills such as strategic planning, team leadership, project management, data governance, stakeholder communication, and understanding of data science principles are important for certification.

With data science management certification, you can pursue roles such as data science manager, analytics manager, business intelligence manager, or chief data officer in various industries.


Earning a data science management certification can provide you with valuable skills and credentials that can help advance your career and open up new opportunities in the field of data-driven management.


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