Post Graduate Program in Data Science and Business Analytics at Texas McCombs:- One of the top analytics colleges, Great Learning, offers a professional managerial course called the PG Programme in Data Science and Business Analytics (PGP DSBA). In partnership with The McCombs School of Business at The University of Texas at Austin and Great Lakes in India, Great Learning is offering the course.
All of the most recent analytics tools and methodologies are covered in this thorough PG Programme in Data Science and Business Analytics certification course. You may also examine their business applications thanks to it. Both theoretical and practical knowledge are combined in this course.
Post Graduate Program in Data Science and Business Analytics at Texas McCombs
By practically covering the curriculum with real-world case studies, the Post Graduate Program in Data Science and Business Analytics at Texas McCombs online course equips students to succeed in corporate careers using data analytics. The following characteristics make the Post Graduate Programme in Data Science and Business Analytics course special.
- Details about themes that are pertinent to the industry.
- 15 learners in small groups with individual mentors.
- Case studies and curricula with an application focus.
- Exposure to many technologies, including Tableau, Python, R, and advanced Excel, through practical practise.
- Able to land you a job and advance your data science career.
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Post Graduate Program in Data Science and Business Analytics Details
| Article Name | Post Graduate Program in Data Science and Business Analytics at Texas McCombs |
| Year | 2024 |
| Category | Courses |
| Official site | www.greatlearning.in |
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The Highlights
- The duration of the course is 11 months.
- The candidates must have two years of proven work experience after their Bachelor’s Degree.
- The course mode will remain online.
- After the course you can make a career as Data Scientist or Business Analyst.
Programme Offerings
- Program structure
- Industry Exposure
- World-Class Faculty
- Career
- Corporate collaboration
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
| Yes | Great Learning Texas McCombs |
The cost of the full programme for the online PG Programme in Data Science and Business Analytics is Rs. 2,50,000 including GST. You must confirm that paying the entire amount at once will qualify you for a 10% charge waiver. Our financial institution partners’ financing alternatives are available to you with 0% interest and 0% processing fees. For the purpose of obtaining education, we have agreements with a number of financial institutions, including HDFC Credila, MoneyTap, Avanse Education, Zest Money, Eduvanz, Liquid Loans, and Propelled.
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Eligibility Criteria
Before enrolling in the course, the Post Graduate Programme in Data Science and Business Analytics programme also requires the eligibility requirements. After earning a bachelor’s degree, candidates must have at least two years of work experience. Their overall grade point average cannot be lower than 50%. Although completion of high school (minimum of three years) is required for the degree, it is common for students to enrol after earning an MBA or PGPM.
Regardless of discipline, the candidate’s bachelor’s degree must have been earned with at least a 50 percent overall score.
What you will learn
Machine learning Data science knowledge Database Management R Programming Knowledge of Python
You would have learned data science managerial skills after completing the PG Programme in Data Science and Business Analytics (PG DSBA) online certification sessions. You will be able to handle any type of business situation with the abilities you have acquired. In contrast to conventional PGPM/MBA, you are specialising in a single subject (DSBA), which will allow you to focus better and increase your chances of landing your ideal job. You might not be hired in your selected speciality after earning an MBA.
Admission Details
The admissions process for the online PG Programme in Data Science and Business Analytics is quite simple and easy to understand. We’ll go over the numerous procedures that must be adhered to during the admissions process.
- The first step is to fill the PG Program in Data Science and Business Analytics online application form at https://www.greatlearning.in/pg-program-dsba.
- Enter your contact information, name, email address, phone number, educational background, and employment history.
- In order to apply for the PG Programme in Data Science and Business Analytics and submit your application, you must also upload your resume.
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Application Details
Candidates for the Post Graduate Programme in Data Science and Business Analytics certification course will be shortlisted based on their profiles after submitting the application, and will then be contacted by phone or mail, followed by an interview and admission. While filling the admission form, you have to give three information.
- Personal Information- In this part, you have to fill in your name, father’s name, address, etc.
- Educational Information- In this part, you have to fill in all the details of your past academics.
- Professional Information- As 2 years of work experience is mandatory, you require to fill in the details of your work.
The Syllabus
The following is the course syllabus for the post-graduate programme in data science and business analytics.
Data Science Foundations
Introduction to Data Science
-
Descriptive Statistics
- Introduction to Probability
- Probability Distributions
- Hypothesis Testing and Estimation
- Goodness of Fit
Marketing and CRM
- Customer Lifetime Value
- Core concepts of marketing
Python for Data Science
- Introduction to Python
- NumPy
- Pandas
- Visualization using Python (Matplotlib & Seaborn)
- Dealing with Data using Python
Business Finance
- Capital Structure
- Fundamentals of Finance
- Capital Budgeting
- Working Capital Management
SQL Programming
- Schema design
- Introduction to DBMS
- ER diagram
- Subqueries involving joins & aggregations
- Key constraints & basics of normalization
- Joins
- Grouping and filtering
- Sorting
- Analytic functions
- Correlated subqueries
- Set operations
- Independent subqueries
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Data Science Techniques
Optimisation Techniques
- Goal Programming
- Integer Programming
- Linear programming
- Mixed Integer Programming
- Distribution and Network Models
Advanced Statistics
- Dimension Reduction Techniques
- Regression Analysis
- Analysis of Variance
Predictive Modeling
- Linear Discriminant Analysis
- Logistic Regression
- Multiple Linear Regression(MLR) for Predictive Analytics
Data Mining
- Unsupervised learning
- Supervised learning
- Decision Trees
- Neural Networks
- Random Forest
- Clustering
Time Series Forecasting
- Correlation
- Introduction to Time Series
- Forecasting
- Autoregressive Models
Machine Learning
- Handling unbalanced data
- Handling Unstructured Data
- Bias Variance trade-off
- Model Validation
- Machine learning Algorithms
- Boosting
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Domain Exposure
Marketing & Retail Analytics
- Customer Analytics
- Marketing and Retail Terminologies: Review
- KNIME
- Association Rules Mining
- Retail Dashboards
- Customer Churn
Web & Social Media Analytics
- Basic & Advanced Web Metrics
- Web Analytics: Understanding the metrics
- Text Mining
- Campaign Analytics
- Google Analytics: Demo & Hands-on
Finance & Risk Analytics
- Comparison of Credit Risk Models
- Why Credit Risk-Using a market case study
- Overview of the Probability of Default (PD) Modeling
- PD Models, types of models, steps to make a good model
- Value at Risk- using a stock case study
- Fraud Detection
- Market Risk
Supply Chain & Logistics Analytics
- Introduction to Supply Chain
- RNNs and its mechanisms
- Inventory Control & Management
- Advanced Forecasting Methods
- Inventory Modeling
- Inventory classification
- Designing Optimal Strategy using Case Study
- Costs Involved in Inventory
- Economic Order Quantity
- Forecasting
- Examples & Case Studies
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Visualisation And Insights
Data Visualization using Tableau
- Introduction to Tableau
- Introduction to Data Visualization
- Descriptive Statistics, Dimensions and Measures
- Basic charts and dashboard
- Dashboard design & principles
- Advanced design components/principles: Enhancing the power of dashboards
- Visual analytics: Storytelling through data
- Special chart types
- Integrate Tableau with Google Sheets
- Case Study: Hands-on using Tableau
Capstone Project
Career Assistance: Resume building and Mock interviews
Evaluation process
You must immediately apply on the company website. In the event that they choose your application after reviewing your résumé, you will receive a call. There are currently no formal exams.
Post Graduate Program in Data Science and Business Analytics at Texas McCombs FAQ’S
What is post graduate program in Data Science and Business Analytics?
This one-year conversion MSc is designed for graduates from a wide range of disciplines and experience. It gives you skills in data analytics, computing and business.
What is the cost of post graduate program in Data Science and Business Analytics?
The fee for the complete course of the PG Program in Data Science and Business Analytics online course program is Rs. 2,50,000 plus GST. You must ensure that you can get a 10 percent fee waiver if you pay the whole amount in one go.
Is University of Texas good for Data Science?
This program ensures that graduates have the skillset to be competitive candidates in the job market as data scientists. Top-ranked for Innovation: University of Texas at Austin is ranked as the #10 Most Innovative Public School. U.S. News & World Report, 2021.
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