The Certified Business Analytics for Managers program is a comprehensive and specialized training designed to equip managers with the essential skills and knowledge needed to harness the power of data for strategic decision-making. In an era where data drives business success, this certification focuses on cultivating a deep understanding of business analytics principles, tools, and applications. Participants in the program undergo rigorous training in statistical analysis, data mining, predictive modelling, and data visualization. The curriculum delves into key concepts such as data-driven decision-making, business intelligence, and performance analytics.

Emphasis is placed on developing the ability to interpret complex data sets, identify trends, and derive actionable insights that drive organizational performance. The certification is made to specifically address the demands of managers, giving them a tactical and strategic method for incorporating analytics into their deliberative procedures. Participants learn how to use analytics tools and approaches to overcome business obstacles, enhance business operations, and gain a competitive edge in the marketplace with a focus on real-world applications. Professionals who successfully complete the Certified Business Analytics for Managers program leave with more than just a priceless credential; they also have the know-how to guide their teams in making data-driven choices that support the overall development and success of their

USD 33,000 /-
USD 39,600 /-

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Course Highlights

Basics of Data Analysis: Understand the fundamental concepts and techniques of data analysis, including data cleaning, exploration, and descriptive statistics.

Right Tools: Utilize appropriate data analysis tools and software to efficiently process and analyze data.

Analytical Mindset: Cultivate a mindset that is critical, inquisitive, and open to discovering insights within data.

Data from Multiple Sources: Gather and analyze data from diverse sources to gain a comprehensive view of the subject.

Effective Visualizations: Create clear and engaging visualizations to communicate data findings effectively.

Advanced Analysis: Go beyond basic analysis techniques to explore more advanced methods, such as regression or machine learning.

Predictive Analytics: Apply predictive analytics to forecast trends and make informed decisions about the future.

Data-Driven Decisions: Base decisions on data-driven insights, reducing reliance on intuition or assumptions.

Stakeholder Communication: Articulate and present data insights to stakeholders in a clear and understandable manner.

Analytical Culture: Foster a culture within an organization that values data-driven decision-making and encourages analytical thinking.


After you complete the course with Skillfloor, you will receive a certification. A highly sought-after qualification for managers who want to succeed in the data-driven corporate environment is the Certified Corporate Analytics for Managers designation. In-depth training in analytics, statistical analysis, and data-driven decision-making empowers managers with advanced abilities. This accreditation, which is acknowledged across the world, attests to a manager's competence in utilizing analytics technologies to improve strategic decision-making, optimize operations, and achieve a competitive advantage. It demonstrates their dedication to remaining at the forefront of business analytics and validates their proficiency in leveraging data to foster organizational success. The future of data-driven corporate settings will be shaped and navigated by certified experts



Top 10 Reasons For Choosing this Course

Strategic Decision-Making: Equip managers with the skills to make informed, data-driven decisions that align with organizational objectives and strategies.

Competitive Advantage: Gain a competitive edge by leveraging analytics to identify market trends, customer behaviors, and opportunities for innovation.

Operational Efficiency: Improve operational efficiency by using analytics to optimize processes, reduce costs, and enhance overall business performance.

Risk Management: Develop the ability to identify and mitigate risks through the analysis of relevant data, ensuring a proactive approach to risk management.

Performance Optimization: Utilize analytics to measure and enhance the performance of teams, projects, and key business metrics.

Customer Insights: Understand customer preferences and behaviors through data analysis, enabling the creation of targeted and personalized strategies for customer engagement.

Resource Allocation: Optimize resource allocation by using analytics to identify areas of improvement, allocate budgets effectively, and prioritize initiatives based on data-driven insights.

Innovation Acceleration: Foster a culture of innovation by harnessing analytics to identify new business opportunities, streamline processes, and drive continuous improvement.

Cross-Functional Collaboration: Break down silos within an organization by promoting cross-functional collaboration through a shared understanding of data and analytics among managers.

Professional Development: Enhance the professional development of managers by providing them with a recognized certification that demonstrates expertise in business analytics, positioning them as leaders in their field.

Course Curriculum

  •  Overview of Business Analytics
     Applications and Benefits of Business Analytics
     Types of Business Analytics  Descriptive, Predictive, and Prescriptive
     Analytics Tools and Technologies

  •  Data Cleaning and Preprocessing
     Data Exploration and Visualization
     Data Analysis Techniques
     Data Modeling
     Interactive Dashboards

  •  Introduction to Predictive Analytics
     Statistical Concepts
     Regression Analysis
     Time Series Analysis
     Forecasting Models

  •  Introduction to Machine Learning
     Supervised and Unsupervised Learning
     Clustering Analysis
     Decision Trees
     Neural Networks

  •  Introduction to Optimization Modeling
     Linear Programming
     Integer and MixedInteger Linear Programming
     Network Optimization
     Simulation Models and Techniques

  •  Applications of Business Analytics in Different Business Functions
     Developing a DataDriven DecisionMaking Framework
     Best Practices
     Ethical and Legal Implications of Business Analytics

What People Say


Skillfloor training programs provided me with a competitive edge and opened doors for career advancement


Skillfloor helped me enhance my communication skills and boosted my confidence in the workplac


The training program at Skillfloor provided practical insights that I could immediately apply to my job


I highly recommend Skillfloor for their comprehensive leadership development program


Skillfloor trainers are top-notch professionals who made the learning experience engaging and enjoyable


The online training platform offered by Skillfloor was user-friendly and convenient