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Business Analytics

Experience the true power of Business Analytics workshop with Anexas!

4.7

(15,000)

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(100,000+ students enrolled)

Description

Uncover the essentials of Business Analytics in this dynamic 2-hour workshop. Explore key concepts in data analysis, data collection strategies, and the basics of descriptive and predictive analytics. Learn to make data-driven decisions, align analytics with business goals, and delve into real-world case studies. The workshop includes interactive discussions and a Q&A session, providing participants with a comprehensive introduction to the transformative world of Business Analytics. Join us for a condensed yet insightful journey into the core principles shaping today’s data-driven decision-making landscape.

How can you use Business Analytics at work?

  • Data Interpretation: Effectively interpret and analyze data sets to derive meaningful insights, enabling professionals to make informed decisions and recommendations based on accurate information.
  • Performance Evaluation: Utilize business analytics skills to assess and evaluate the performance of various business functions, identifying areas for improvement and implementing data-driven strategies for optimization.
  • Strategic Planning: Incorporate business analytics training into strategic planning processes, ensuring that organizational goals are aligned with data-driven insights and market trends for more effective decision-making.
  • Problem Solving: Apply analytical techniques to identify and solve complex business problems, using data to diagnose issues, explore potential solutions, and measure the impact of implemented strategies.
  • Communication of Insights: Develop the ability to communicate analytical findings in a clear and concise manner to stakeholders, facilitating effective collaboration and ensuring that data-driven insights are understood and acted upon across the organization.

What will you learn in Business Analytics Training?

  • Overview of Business Analytics:
    Definition and significance
    Brief historical context
    Real-world examples
  • Key Concepts in Data Analysis:
    Types of data: qualitative vs. quantitative
    Variables, measures of central tendency, and dispersion
  • Data Collection and Preprocessing:
    Strategies for data collection
    Basics of data cleaning and preprocessing
  • Introduction to Descriptive Analytics:
    Basic statistical analysis
    Data visualization techniques
  • Predictive Analytics Basics:
    Understanding predictive modelling
    Introduction to Regression Analysis
  • Data-Driven Decision Making:
    Case studies on data-influenced decisions
    Aligning analytics with business goals
  • Q&A and Discussion:
    Addressing participant questions
    Encouraging discussion on key concepts

Learning from the Best trainer

amitabh saxena

Amitabh Saxena

Lean Six Sigma Master Black Belt | CEO, Anexas Europe

Meet Amitabh Saxena, the CEO and founder of Anexas Europe, renowned for his exceptional contributions in the quality domain. With over 30 years of experience, he brings a wealth of expertise to the table. Amitabh Saxena has provided consulting services to prestigious Fortune 100 organizations, including ADNOC, Dell, SABIC, Aramco, Ministry of Health, DP World, Alfuttaim Motors, EMC2, Bank Muscat, TATA Business Services, Deloitte, TATA Motors Finance Ltd, Steel Authority of India, Indian Railways, Colgate Palmolive, Novartis, Novozymes Denmark, HP, Tech Mahindra, Reliance, Bharat Petroleum, Maersk, Cisco, and many more. The list is extensive and impressive. Not only is Amitabh Saxena a quality expert, but he is also a successful entrepreneur, the author of the Amazon bestseller ‘The Anexas Story’ and a published poet. With his vibrant and engaging teaching style, he infuses every concept with excitement and dedication.  Get ready to learn from an industry leader who blends expertise, passion, and a touch of fun into every training session.

FREE

100%

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Trusted by over 15,000 companies and millions of learners around the world

Manju KS
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ANEXAS is the No.1 Lean Six sigma training center.I joined this institute for Lean Six sigma Green Belt, Black Belt and Master Black Belt and I feel i have made a right decision. excellent training environment . I am happy to be part of ANEXAS always.
Sanjit Achary
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The Six Sigma Green Belt training was excellent. The course material and presentation was very well designed which helped me to understand the concepts so quickly. The trainer is excellent ! The way he narrated the concepts along with real time examples is awesome. Overall, its a great and unique experience. Thank you very much Anexas !
Madhumitha Ravi
Read More
Underwent the Green Belt and Black belt training with the Anexas team - it was a great learning experience under excellent trainers. Well curated program with pratical examples that made learning easy and fun.
Samyabrata Bhattacharjee
Read More
yes it is a great journey. At first i thought it will be difficult for a student to get the concept but the way of teaching make it very easy and simple. Anexas taught us each concept from the practical point of view which gives us strong hold on all the concept.
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Business Analytics involves the use of data analysis and statistical methods to make data-driven decisions and solve business problems. It combines techniques from data science, statistics, and business intelligence to analyze past performance and predict future trends.
A Business Analytics course is ideal for professionals looking to enhance their data analysis skills and make informed business decisions. This includes business analysts, data analysts, managers, and anyone involved in strategic planning, operations, or marketing who wants to leverage data for better outcomes.
While specific prerequisites may vary, a basic understanding of statistics and mathematics is often required. Familiarity with data analysis tools like Excel, SQL, or a programming language like Python or R can be beneficial but is not always mandatory.
In a Business Analytics course, participants will learn to collect, analyze, and interpret data to drive business decisions. Key topics typically include data visualization, statistical analysis, predictive modeling, and the use of analytics tools such as Excel, Tableau, SQL, and Python. The course may also cover case studies and real-world applications.
Completing a Business Analytics course will enhance your ability to make data-driven decisions, improving business performance and strategy. It opens up career opportunities in various sectors such as finance, marketing, operations, and consulting, with roles like business analyst, data analyst, marketing analyst, and operations analyst.

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Weekend Training Dates:

July 27, Aug 3, 10, 17, 2024

Aug 24, 31, Sep 14, 21, 2024

Sep 28, Oct 5, 19, 26, 2024

Nov 23, 30, Dec 7, 14, 2024

Dec 21, Jan 4, 11, 18, 2025

Weekdays Training Dates:

Oct 7, 8, 9, 10, 14, 15, 16, 17, 21, 22, 23, 24, 2024

Weekend Training Dates:

Aug 31, Sep 14, 21, 28, Oct 5, 19, 26, 2024

Nov 9, 16, 23, 30, Dec 7, 2024

Weekdays Training Dates:

July 31, Aug 1, 5, 6, 7, 8, 12, 13, 14, 19, 20, 21, 22, 26, 27, 28, Sep 3, 4, 5, 9, 11, 12

Sep 25, 26, Oct 1, 3, 7, 8, 9, 10, 14, 15, 16, 17, 21, 22, 23, 24, 28, 29, 30, Nov 4, 5, 6, 7

Dec 2, 3, 4, 5, 9, 10, 11, 12, 16, 17, 18, 19, 20, 23, 2024 Jan 2, 3, 6, 7, 8, 9, 20, 21, 22, 2025

Weekend Training Dates:

July 19, 20, 27, 2024

July 14, 20, 27, 2024

Sep 14, 15, 21, 2024

Sep 14, 20, 21, 2024

Oct 6, 19, 20, 2024

Oct 18, 19, 25, 2024

Nov 10, 16, 17, 2024

Nov 15, 16, 22, 2024

Dec 8, 14, 15, 2024

Dec 13, 14, 20, 2024

Jan 5, 11, 12, 2025

Jan 11, 17, 2025

Weekdays Training Dates:

July 11, 15, 16, 18, 22, 23, 24, 25

July 11, 15, 16, 18, 19, 22, 23, 24, 25

Aug 12, 13, 14, 19, 20, 21, 22, 23, 26, 27

Aug 12, 13, 14, 19, 20, 21, 22, 26

Sep 13, 18, 19, 20, 24, 25, 26, 27

Sep 13, 17, 18, 19, 20, 23, 24, 25, 26, 27

Oct 15, 16, 17, 18, 21, 22, 23, 24

Oct 16, 17, 18, 21, 22, 23, 24, 25, 28

Nov 13, 14, 18, 19, 20, 21, 25, 26

Nov 15, 18, 19, 20, 21, 22, 25, 26, 27

Dec 10, 11, 12, 13, 16, 17, 18, 19

Dec 11, 12, 13, 16, 17, 18, 19, 20, 23

Jan 16, 17, 20, 21, 22, 23, 27, 28, 2025

Jan 17, 20, 21, 22, 23, 24, 27, 28, 29, 2025

Weekend Training Dates:

July 28, Aug 4, 11, 2024

Jul 5, 12, 13 2024 

Aug 25, Sep 1, 8 2024

Aug 23, 30 Sep 6, 2024

Sep 28, 29, Oct 5, 2024

Sep 28, Oct 4, 5 2024

Oct 26, 27, Nov 9, 2024

Oct 26, Nov 8, 9, 2024

Nov 30, Dec 1, 7, 2024

Nov 30, Dec 6, 7, 2024

Dec 21, 22, 2024 Jan 4, 2025

Dec 21, 27, 2024 Jan 4, 2025

Weekdays Training Dates:

July 29, 30, 31, Aug 1, 5, 6, 7, 8

July 29, 30, 31, Aug 1, 2, 5, 6, 7, 8, 9

Aug 28, 29, Sep 2, 3, 4, 5, 9, 10

Aug 28, 29, Sep 2, 3, 4, 5, 9, 10, 11, 12

Sep 30, Oct 1, 3, 7, 8, 9, 10, 14

Sep 30, Oct 1, 3, 4, 7, 8, 9, 10, 14, 15

Oct 28, 29, Nov 4, 5, 6, 7, 11, 12

Oct 29, Nov 4, 5, 6, 7, 8, 11, 12, 13, 14

Nov 28, 29, Dec 2, 3, 4, 5, 6, 9

Nov 28, 29, Dec 2, 3, 4, 5, 6, 9, 10

Dec 20, 23, 2024 Jan 2, 6, 7, 8, 9, 10, 2025

Dec 20, 23, 2024 Jan 2, 3, 6, 8, 9, 10, 16, 2025