Master Business Analytics

Build comprehensive business analytics expertise while mastering data analysis, statistical modeling, and business intelligence. This comprehensive course combines business analytics fundamentals with advanced data science concepts, preparing you for real-world business challenges and industry certifications. Learn to analyze business data, develop predictive models, ensure data governance, and create analytical solutions required for business analyst and data analyst professional roles.

What You Will Learn:

  • Business Analytics Fundamentals: Understand the fundamentals of business analytics and data science, including data collection, data cleaning, and exploratory data analysis. Learn core statistical principles and modern analytics tools for effective business decision-making.
  • Statistical Analysis and Modeling: Master statistical methods, hypothesis testing, regression analysis, and predictive modeling for organizations. Create statistical models, forecasting frameworks, and data-driven business strategies.
  • Business Intelligence and Data Visualization: Gain proficiency in BI tools, dashboard creation, and data visualization for business applications. Learn to work with Tableau, Power BI, and advanced visualization techniques.
  • Data Mining and Machine Learning: Learn how to apply machine learning algorithms, data mining techniques, pattern recognition, and predictive analytics for organizations. Master clustering, classification, and recommendation systems for business insights.
  • Database Management and SQL: Explore essential database technologies such as SQL, NoSQL databases, and data warehousing solutions. Get hands-on experience with industry-standard data management workflows.
  • Advanced Analytics and Big Data: Dive into big data technologies, advanced analytics, and sophisticated business intelligence techniques for modern enterprises. Use advanced analytics tools for managing large datasets and extracting actionable business insights.
  • Business Analytics Portfolio: Apply your skills in real-world scenarios with hands-on analytics projects. Develop a comprehensive capstone project that showcases your mastery of business analytics practices.

Why Choose This Course:

  • Expert Instruction: Learn from certified business analytics professionals and industry experts who bring real-world experience and current industry knowledge to the classroom.
  • Hands-On Analytics Practice: Engage in real business scenarios and practical data analysis projects that reinforce your learning and provide practical business analytics experience.
  • Flexible Learning: Study at your own pace with lifetime access to all course materials, including video lectures, analytics templates, and downloadable resources.
  • Comprehensive Analytics Curriculum: Cover all essential aspects of business analytics, from basic statistical principles to advanced machine learning algorithms, ensuring a well-rounded understanding of analytics systems.
  • Analytics Professional Community: Benefit from a supportive learning environment with access to the course forum, where you can discuss analytics techniques, share experiences, and collaborate with fellow business analytics professionals.
Ideal For:
  • Beginners with no prior business analytics experience looking to start a career in data analysis or business intelligence roles.
  • Business professionals who want to transition into business analytics and learn advanced data analysis concepts and practices.
  • Entrepreneurs and decision-makers seeking to enhance their skills in modern analytics tools, data visualization, or business intelligence techniques.
Enroll Today:
  • Take the first step towards mastering business analytics. Enroll now and start your journey to becoming a skilled business analytics professional!

This comprehensive business analytics course will provide you with the knowledge and hands-on experience needed to manage professional analytics functions for various organizational needs. Join thousands of students who have successfully launched their business analytics careers with our expert-led training program.

Curriculum

Definition and scope of business analytics25:30🔒
Importance of analytics in business decision-making30:45🔒
Types of business analytics22:15🔒
Overview of analytics tools and technologies35:20🔒

Data types and sources28:20🔒
Data collection methods and tools32:15🔒
Data quality and data cleaning29:40🔒
Data storage solutions (databases, data warehouses, data lakes)26:35🔒
Data privacy and ethical considerations34:50🔒

Basics of statistical analysis38:25🔒
Descriptive statistics (mean, median, mode, standard deviation)31:15🔒
Inferential statistics (hypothesis testing, confidence intervals)42:30🔒
Correlation and regression analysis35:40🔒
Statistical software and tools (R, SAS, SPSS)29:20🔒

Importance of data visualization33:15🔒
Types of data visualizations (charts, graphs, dashboards)28:45🔒
Best practices for effective visualization36:30🔒
Tools for data visualization (Tableau, Power BI, Excel)24:50🔒
Creating and interpreting visual reports27:35🔒

Overview of business intelligence30:20🔒
BI concepts and technologies34:15🔒
BI tools and platforms (Power BI, Tableau, QlikView)26:40🔒
Building and using BI dashboards and reports28:25🔒
BI for decision support32:50🔒

Introduction to predictive analytics29:15🔒
Techniques for predictive modeling37:30🔒
Machine learning basics and algorithms33:45🔒
Evaluating and validating predictive models25:20🔒
Applications of predictive analytics in business31:40🔒

Understanding prescriptive analytics35:25🔒
Optimization techniques and models32:10🔒
Simulation and scenario analysis28:55🔒
Decision-making frameworks and tools30:35🔒
Case studies of prescriptive analytics applications33:20🔒

Application of analytics in various business functions27:15🔒
Use cases and examples34:40🔒
Aligning analytics with business objectives29:50🔒
Measuring the impact of analytics on business performance31:25🔒

Managing analytics projects28:30🔒
Defining project scope and objectives32:45🔒
Data collection and analysis planning35:20🔒
Implementing and monitoring analytics projects29:15🔒
Communicating findings and recommendations33:55🔒

Ethical issues in data analytics37:20🔒
Data privacy laws and regulations34:45🔒
Ensuring data security and compliance41:30🔒
Best practices for ethical data use38:15🔒
Price
From

₹3500

Courses Title
Web Development
Lessons
16 Videos
Language
English
Course Level
Beginner
Reviews
4.7(5.5k)
Quizzes
08
Duration
7 Weeks
Students
2.5k
Certifications
Yes
Pass Percentage
88%
Deadline
01 Jun, 2024
Instructor
Denial Lie
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FAQs

The course duration is of 2 months & some course may extend to 3 months

Yes at the end of the course completion you will get certificates.

ABCPanda team will arrange a doubt clearance session accordingly.

Yes, for Recorded sessions & Live sessions access would be 1 year

No our mentors will teach from basic. If you have experience, it would add an advantage.