Certificate in Business Analytics Fundamentals

Description

This is an analytics foundation course. The course will equip participants with the essential skills required to prepare for a career in business and data analytics. This course also prepares the participants for subsequent learnings in the core analytics areas of building models to solve different problems, whether in business, technical or research domains. It is part of the Foundation layer in SetConnect’s fasTrac™ methodology.

Key Takeaways

At the end of the programme, you will be able to:

  • Translate business requirements to problems that can be solved computationally
  • Write scripts using syntax and conventions established in industry best practices
  • Develop a fully functional programme using industry-relevant Python
  • Prepare for additional courses to build your career in Analytics and Data Science

Business analytics is a fast-growing field that explores the methods of understanding data within an organization to improve decision-making. By building capability and expertise in analytics companies are able to evaluate the data they have and the data required to manage the business. This programme equips participants with the essential skills needed to prepare for a career in Analytics and Data Science. These include descriptive statistics, hypothesis tests, confidence intervals and linear regression. Learners will also have the ability to apply statistical methods and task automation for problem solving using Python.

[Average learning hours per week – live, recorded, assignments]

  • Blended learning: The courses are delivered as a combination of live classroom (synchronous learning), recorded sessions (asynchronous learning) plus mentored hands-on practice sessions, activities and projects
  • Global faculty: The faculty network consists of well-qualified, highly experienced instructors from the US, UK and India. (Link to sample profiles)
  • LMS – our student-friendly LMS Canvas is one of the most popular learning management systems used by leading universities.

Sample text

Duration : 80 hours

Learn from global faculty

Ramesh Rajagopalan
Novin Ghaffari
Bugra Alkan
Gurudutt Shenoy

List of Courses

This is the first course in the Foundation layer in SetConnect’s fasTrac™ methodology. The fundamental programming concepts includes an introduction to data types, manipulating strings, control structures, error handling and working with arrays. You will be able use libraries and develop simple scripts which are used in building applications. This course will equip you with information on coding standards, so that you will be able to confidently write Python scripts aligned with industry best practices.

The lessons in the Python for Data Analytics course will help you:

  • Review the essential and advanced concepts for analytics
  • Follow the instructor’s illustration of detailed coding
  • Appreciate the best practices for developing code
  • Carry out practice assignments in coding
  • Use powerful libraries to develop solutions for a wide range of mathematical and statistical techniques

In addition, you will also be able to develop fully functional programmes using a Python interpreter. You will learn how to:

  • Install Python
  • Develop, troubleshoot and execute scripts
  • Access common libraries relevant to Analytics
  • Resolve script errors
  • Validate user inputs in programme development

This is the second course in the Foundation layer in SetConnect’s fasTrac™ methodology. We recommend that you complete the first course, Python in Data Analytics before taking this course. In this course, you will learn real-world modelling applications using statistical methods. By learning how to frame these applications in statistical frameworks, you will learn how to solve statistical problems using technology and apply the results to real-world business problems. Thus, this course provides a rigorous statistical foundation for those aspiring for analytical roles that demand in-depth analyses of large data sets.

The lessons in the Business Statistics for Python application course will help you:

  • Review the essential and advanced concepts related to Business Statistics
  • Follow the instructor’s illustration of statistical examples
  • Be aware of both the applications and limitations of different statistical techniques
  • Carry out practice assignments in applying Python to statistical problems
  • Use popular Python libraries to develop solutions for a wide range of statistical techniques

Upon completing this course, you’ll be able to:

  • Formulate real-world data analysis questions as problems in statistical frameworks
  • Understand the role of statistics in doing the research
  • Read and understand the statistical concepts from reports and papers
  • Master the statistical methods to summarize and analyse data: descriptive statistics, confidence interval for population mean and proportion, hypothesis testing, Chi-square test for independence, linear regression model.
  • Interpret results from various computer packages and be able to perform appropriate statistical techniques
Seeking Information
Sl. No. Details Remarks
Opening Greeting, self introduction and stating the context of call.
Obtaining permission to ask questions
Context of call: in response to their enquiry, to seek and provide information
1 Verify name, phone number (alternate also if available), email id and location Basic KYC. Capture information
2 Verify educational qualification Check whether graduate - for eligibility for SMU.
Capture discipline, institution & year.
3 Performance during graduation Check performance and aptitude. To be done with tact.
Do not press for details if the prospect is unwilling.
4 Why is (s)he interested in the course? Nudge / prompt for response. Capture the reason(s).
Allow the person to talk. Check understanding and summarize.
Job, career progression, change if career etc.
5 If working, details of current job Organization, function and number of years.
6 What is the time frame for doing the course? One of the key factors that determine hot or warm lead.
Record response.
7 What is the budget? Assess ability to fund. Very important to understand the ability to pay and the source of funding
8 What are the options being evaluated by her/ him? Obtain information about competitive offering(s).
Criteria for looking at the alternative(s).
9 Any constraints, other considerations for choosing a course? Gain insights into buying criteria of the prospect
10 What are the next steps? Summarize the call and proactively list out the next steps
(e.g. sending material, setting up the next call and its objectives)

 

Providing Information
Sl. No. Details Remarks
a About self Introduce yourself
b About SetConnect Brief introduction. Offer to send details / invite them to visit website
c About SMU Brief introduction. Offer to send details / invite them to visit website
d About MSDS Ranking, courses, specialization and duration. Offer to send details by email.
e Entry criteria Graduation. Offer to send details by email
f Process of admission State requirements and offer to send the brochure
g Deadlines June end for cohort starting on August 24th
h Fees and method of delivery USD 30000 + USD 75 for application. Online + local immersion + International immersion (To be decided)
i Matching course to needs Most important part of the call
j Responding to specific queries Be prepared with all details. If you don’t know some details don’t fabricate details. Will get back to you in 24 hrs is a good answer
k Share your email id and mobile number(s)

    Fill in the details below


    Domingo Latorraca

    Dr Latorraca is a Ph.D., Industrial Engineering, Operations Research & Quantitative Sciences from Texas Tech University.

    Some of the key positions he has held include:

    • Consulting Partner, Head of Strategy & Analytics for the Deloitte Spanish Latin American region
    • Board of Directors of Deloitte LATCO
    • High Level Presidential Commission on Transparency for Panama´s International Services Platform
    • Panama´s representative at OECD´s Global Forum, and Multilateral Institutions (IMF, World Bank, IDB), during tenure as Deputy Minister of Economy
    • Chairman of the Board, Panama´s Chamber of Commerce, Industry and Agriculture
    • Deputy Minister of Economy, Panama

    As part of his role in Deloitte, he was the Senior Advisor Planning & Analysis, responsible for Strategy,Financial Planning,Data Analysis,Business Modeling and Project Management

    He has successfully overseen projects including:

    Planning & Analysis

    • Infrastructure—Metro, Airport, Telecommunications, Panama Canal, Construction, Energy, Auto Distribution

    Corporate Finance/M&A

    • Telecommunications, Manufacturing, Insurance, Banking

    Project Management

    • Insurance, Health, Banking, Auto Distribution

    Analytics

    • Macro economics, Auto Industry, Construction, Services, Real Estate

    He has also held several Boardlevel positions (Current and Past) including:

    • Panama's Chamber of Commerce, Industry and Agriculture
    • Consulting Executive Directorate—Deloitte Spanish Latam
    • Panama's Sovereign Fund
    • United Way Panama
    • The Rotary (Panama Sur)
    • Independent Board Member—Grupo Hopsa
    • Editorial Board—Capital Financiero
    • Independent Board Member—TalleresIndustriales

    Muralidhar Rao

    He joined NIIT (which was an education start-up) in the Eighties and was a member of the core management team that scaled up the organization to an organization running more than a thousand education centres across the World in a decade. He later moved over to another start-up in the area of sales training and leadership development (NIS Sparta) – which primarily operated in B2B space. As the COO, he scaled up delivery and engagement operations catering to over 300 corporate customers with a team of over 600 trainers/ consultants – all within a span of eight years. NIS Sparta is acknowledged as a pioneer and a benchmark organization for sales training in India. He was the Founder CEO of Future Human Development Limited where he successfully launched Management Education, Corporate Training and Skill Development businesses. Later, as Business Head for Bridge School of Management, he handled sales and operations of both B2C and B2B channels for Business Analytics and Digital Marketing. He is an Executive coach / mentor for CXOs and also teaches the subject of Business Acumen for students and executives.

    Douglas Gray

    He has experience across a variety of industries, including most notably Airline, Travel & Hospitality, Health Care, and Financial Services and has held several leadership positions in organizations including SouthWest Airlines and Walmart

    Mr. Gray has an MBA from Southern Methodist University and an MS in OR from Georgia Institute of Technology. He is also currently an Adjunct Professor of Business Analytics in SMU.

    Malarvizhi K. C.

    She has worked on a number of EPSRC and Innovates UK funded research projects with global industrial partners, mainly from automotive and aerospace sectors.

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    Jai Ugra

    Working for a leading Fortune 500 retail corporation, he has managed supply chain and logistics for a USD $850M portfolio. Alumni of the McCombs School of Business, The University of Texas at Austin with experience in data analytics and visualization.

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    Samantha Ackers

    Professor Ackers joined Austin Community College (ACC) in 2015 as an Adjunct Professor of English and Student Development. For the last 5 years, Samantha has been teaching college and career readiness/success courses at ACC which includes college students and dual-credit high school students using Raymond Gerson’s, “Achieve Career Success: Discover and Get the Job You Want” and “Achieve College Success: Learn How in 20 Hours or Less.”

    As an Adjunct Professor, she serves the community through outreach and education training sessions with Raymond Gerson geared toward preparing Educators to teach the Student Success Courses. Also, working as an ACC Ascender Mentor and ACC Digital Faculty Scholar keep Samantha engaged in researching innovative methods to help Students enjoy Life while Working towards reaching their Goals.

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    Dr. Laura Moody

    She has taught Ergonomics and Human Factors, Probability and Statistics, Engineering Economy, Innovation, and other courses at the undergraduate and graduate level for a combined total of 30 years. During this time, Dr. Moody also served as an advisor on numerous senior design projects and master’s theses, providing guidance on engineering design and statistical analysis. Dr. Moody earned her PhD from the Georgia Institute of Technology in 1993 and has also worked as a member of the engineer staff, a manager, and a consultant for companies in the consumer products, aerospace, defense, and healthcare industries.

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    Dr. Bugra Alkan

    His research focuses on developing methodologies that enable the creation of robust, self-adaptive and self-optimised cyber-physical systems (CPS). In recent years, he has led the development of several engineering tools to support lifecycle engineering of CPSs. These include tools for runtime data collection & monitoring, virtual commissioning, and digital twins for CPSs. Dr Alkan has worked on many EPSRC, Innovate UK and ARTEMIS funded research projects, e.g., Knowledge Driven Configurable Manufacturing (KDCM), Automated Module to pack Pilot Line for Industrial Innovation (AMPLiFII), Virtual Manufacturing (V-MAN) and Thales-Bristol Partnership in Hybrid Autonomous Systems Engineering (TB-PHASE) in collaboration with automotive manufacturers, machine builders and control vendors. Prior to joining LSBU, he worked as a Post-doctoral Research Fellow at the University of Bristol, UK. He has authored and co-authored several peer-reviewed journal publications and conference proceedings.

    Dr. Novin Ghaffari

    Dr. Novin Ghaffari interest in quantitative methods and data science began in his business courses, which he further pursued in graduate school. The topic of his master’s thesis was the application of heavy-tailed distributions in time series; his PhD thesis focused on optimal transportation problems and applications to statistical algorithms. He has had over 7 years’ experience in teaching and TAing math and statistics courses, and he has had several years’ experience conducting research for academic, corporate, and national laboratory end users. His research interests include mathematical statistics, probability theory, machine learning, optimization, and predictive analytics and his preferred coding languages are R and Python.

    Suresh Shivaram

    Currently engaged in the field of Education having set up an organisation eTUL to develop a package SpeakToSchool for educational institutes to enhance communications within the school community – Parents, Teachers, Students and Administration.

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    Gurudutt Shenoy

    He has a wide range of experience in various industries and International brands – Toyota, Ford, Kia, Wipro, and Widia Kennametal. As CX and Education Mentor, he teaches Marketing for MBA and is driving several initiatives towards strengthening Education- Industry interface. He conducts Training Programmes and Webinars in CX regularly.

    He is an Engineer from NIT, Karnataka and a PGDM from IIM, Calcutta.

    C S Venkatesh

    Currently engaged in providing comprehensive skill-building in the area of Analytics, Supply Chain & Operations Management through Education and Consulting.

    Dr. Ramesh Rajagopalan

    He has over two decades of Industry experience driving business value of USD 200M annually through advanced analytics at global companies including Dell Technologies, IBM and Deloitte Consulting. Directed a global MSBA program in McCombs School of Business, University of Texas (Austin) to successfully elevating it to a top program in the US. Ramesh holds a PhD, MSIE, an Executive MBA and a BTech.

    Dr. Ramesh Rajagopalan

    He has over two decades of Industry experience driving business value of USD 200M annually through advanced analytics at global companies including Dell Technologies, IBM and Deloitte Consulting. Directed a global MSBA program in McCombs School of Business, University of Texas (Austin) to successfully elevating it to a top program in the US. Ramesh holds a PhD, MSIE, an Executive MBA and a BTech.

    Dr. Novin Ghaffari

    Dr. Novin Ghaffari interest in quantitative methods and data science began in his business courses, which he further pursued in graduate school. The topic of his master’s thesis was the application of heavy-tailed distributions in time series; his PhD thesis focused on optimal transportation problems and applications to statistical algorithms. He has had over 7 years’ experience in teaching and TAing math and statistics courses, and he has had several years’ experience conducting research for academic, corporate, and national laboratory end users. His research interests include mathematical statistics, probability theory, machine learning, optimization, and predictive analytics and his preferred coding languages are R and Python.

    Dr. Bugra Alkan

    His research focuses on developing methodologies that enable the creation of robust, self-adaptive and self-optimised cyber-physical systems (CPS). In recent years, he has led the development of several engineering tools to support lifecycle engineering of CPSs. These include tools for runtime data collection & monitoring, virtual commissioning, and digital twins for CPSs. Dr Alkan has worked on many EPSRC, Innovate UK and ARTEMIS funded research projects, e.g., Knowledge Driven Configurable Manufacturing (KDCM), Automated Module to pack Pilot Line for Industrial Innovation (AMPLiFII), Virtual Manufacturing (V-MAN) and Thales-Bristol Partnership in Hybrid Autonomous Systems Engineering (TB-PHASE) in collaboration with automotive manufacturers, machine builders and control vendors. Prior to joining LSBU, he worked as a Post-doctoral Research Fellow at the University of Bristol, UK. He has authored and co-authored several peer-reviewed journal publications and conference proceedings.

    Gurudutt Shenoy

    He has a wide range of experience in various industries and International brands – Toyota, Ford, Kia, Wipro, and Widia Kennametal. As CX and Education Mentor, he teaches Marketing for MBA and is driving several initiatives towards strengthening Education- Industry interface. He conducts Training Programmes and Webinars in CX regularly.

    He is an Engineer from NIT, Karnataka and a PGDM from IIM, Calcutta.