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This master’s degree program in Data Analytics by Belhaven University and Intellipaat is designed to help you master Power BI, Data Wrangling, Data Mining, and other advanced Data Analytics topics through real-time projects and case studies. On the successful completion of the program, you will receive a master’s degree in Data Analytics from Belhaven University.
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In this master’s degree program in Data Analytics, you will gain business domain knowledge, skills in data transformation, storytelling, usage of algorithms for solving complex business problems, and much more. The program has over 16 courses and 25 industry-based projects that will translate to practical experience.
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About Belhaven University
Belhaven University is known for its nationally recognized academics, top-rated faculty, and affordability. Belhaven strives for excellence in higher education and has achieved prominence in education dating back to 1883. At Belhaven, every student is encouraged to develop and grow to the best of their potential.
Key Achievements of Belhaven University:
On the completion of this program, you will:
Maintain the specifications of data engineering and meet the objectives in online data visualization platforms such as Alteryx and Tableau.
Create predictive models, such as churn likelihood, customer lifetime value, and more, and help the team in the implementation of these models accordingly.
Develop models concerning numerous cost components that power the various margin awareness initiatives.
Build attractive, interactive, and intuitive data visualizations including reports, graphs, presentations, and dashboards.
Identify, build, and execute the techniques of data analysis to allow the team to make significant impacts in the business.
Generate detailed reports and high-quality dashboards and give presentations.
Learn how to do data analysis, data transformation and other important data analysis functions. Basic fundamental of Python and learn how to do data analytics using the same.
2.1 Introduction to SQL
2.2 Database normalization
2.3 Entity-relationship model
2.4 SQL operators
2.5 Join, tables, and variables
2.6 SQL functions
2.8 SQL functions, views, and stored procedures
2.9 User-defined functions
2.10 SQL performance and optimization
2.11 Advanced concepts
3.1 Introduction to Presto
3.2 Writing Queries in Presto on large data sets.
3.3 Data Transformation using Presto
4.1 Descriptive Statistics
4.2 Introduction to Probability
4.3 Probability Distributions
4.4 Hypothesis Testing and Estimation
4.5 Goodness of Fit
5.1 Business domains
5.2 Understanding the business problem and formulating hypotheses
5.3 Exploratory data analysis
5.4 Data storytelling: Narrate stories in a memorable way
5.5 Project on deriving business insights and storytelling
6.1 Linear programming
6.2 Goal programming
6.3 Integer programming
6.4 Mixed integer programming
6.5 Distribution and network models
7.1 Introduction to KNIME
7.2 Working with data in KNIME
7.3 Loops in KNiME
7.4 Webscraping in KNIME
7.5 Hyperparameter optimization in KNIME
7.6 Hyperparameter optimization for Machine Learning Models using loops in KNIME
7.7 Feature Selection in KNIME
8.1 Programming with R
8.2 Advance Statistics
8.3 Data Mining
9.1 Multiple linear regression
9.2 Logistic regression
9.3 Linear discriminant analysis
10.1 Introduction to time-series
10.4 Autoregressive models
11.1 Handling unstructured data
11.2 Machine Learning algorithms
11.3 Bias variance trade-off
11.4 Handling unbalanced data
11.6 Model validation
12.1 Hyper parameter optimization
12.2 Advance Machine Learning Libraries – XGBoost
12.3 Solving Problems on Kaggle
13.1 Framework to Data Science strategy
13.2 Mapping Data Science with data architecture strategy
13.3 Executing Data Science strategy
14.1 Marketing & retail analytics
14.2 Social analytics
14.3 Logistics & supply chain
14.4 Financial analytics
15.1 Introduction to Power BI
15.2 Data Extraction
15.3 Data Transformation – Shaping & Combining Data
15.4 Data Modelling & DAX
15.5 Data Visualisation with analytics
15.6 Power BI Service (Cloud), Q&A, and Data Insights
15.7 Power BI Settings, Administration & Direct Connectivity
15.8 Embedded Power BI with API & Power BI
15.9 Power BI Advance & Power BI Premium
In the Data Science & Business Analytics Capstone project, you will use all the knowledge and skills you have acquired throughout this advanced certification program and get real world Industry project exposure.
The application is free and takes only 5 minutes to complete.
The projects in this master’s degree program are industry-based and will help learners gain hands-on training in the domain of Data Analytics.
This project is made to predict the class of a flower. By analyzing the data about the petal and their dimensions, the class of the flower would be determined using a trained Machine Learning model that has optimum accuracy.
The project is meant to analyze and predict whether an individual has an annual income of more than Rs 50000 or less using various machine learning techniques, some of which are supervised and unsupervised learning.
The project will be creating a model which would help in detecting Credit Card fraud using Machine Learning subcategories like supervised, unsupervised, and reinforcement learning techniques like Neural Network and Random Forest.
Select a pokemon whose primary type is “Grass”, secondary type is “Poison” with the maximum speed. It creates a model that predicts whether the selected pokemon is Legendary or not using Machine Learning and data analysis techniques.
This project focuses on Machine Learning by creating a predictive data model to predict the future stock prices. It also analyzes the current trends in the stock market using algorithms like Linear Regression and k-Nearest Neighbors.
Work on the comment dataset of Yelp to build a multi-headed model that can identify & categorize various types of toxic comments (obscenity, insults, threats etc.). It must allow the user to find and select the required type
This project aims at building a book recommendation engine based on past reading and buying history of an individual. It will analyze the dataset using Machine Learning techniques, R programming and its various libraries.
The project aims to analyze whether the applied loan would be approved or not by identifying the variables correlated with impacting factors. It is predicted using techniques such as Logistic Regression, Decision Tree and Random Forest.
The recommendation engine is built using Netflix prize dataset that will collect the data from various sources of a user, anticipate their preferences and will recommend movies according to the user’s behavior and choices made earlier.
Executive | India
After developing an interest in Data Analysis, I enrolled in the training. I am glad I got a job in this domain and shift from a non-tech role to a Data Analyst. Also, I am now much more confident in data analysis than before.
Associate , Client support
Intellipaat has guided me to take the right course where I learned the latest tools and technologies from R to Tableau, SAS, MS Excel, and SQL allowing me to switch my career from sales to a tech role.
Data Scientist | India
Becoming a Data Scientist from a Customer Service Agent was possible only due to expert guidance by Intellipaat trainers. Even after working for 10 years in customer care, I am a Data scientist today.
Customer Service Agent
Marketing Data Analyst | India
Post the course, I was able to shift from a Data Analyst to a Marketing Data Analyst with a 35% salary hike. I gained a deep understanding of technical skills, especially in analytics. I can’t thank you enough, Intellipaat
Marketing Data Analyst
Senior Analyst | India
I was able to successfully make an internal transition from a Business Analyst to a Senior Analyst. The training has helped me effectively execute the projects in my organization. I am glad to have chosen Intellipaat.
Data Scientist | Delhi
Intellipaat has given me the confidence that anyone can become a Data Scientist with its rich course and expert guidance. With the help of Intellipaat, I switched from a non-tech role to a Data Scientist.
Data Scientist | Hyderabad
Today I am a certified Data Scientist and this has happened post I enrolled in this program. It covers all the necessary concepts and techniques in lucid language. I am thankful to Intellipaat for giving me this career growth.
Aircraft Maintenance Engineer
Big Data Developer | Dallas
The course helped me make a career transition from Computer Technical Specialist to Big Data developer with a 60% hike. The online interactive sessions by trainers are the best thing about Intellipaat.
Computer Technical Specialist
Big Data Developer
Data Scientist | Bengaluru
Intellipaat offered me the best learning experience, and today I have successfully transitioned from a Manager in Edutech to a Data Scientist. The comprehensive curriculum and the career guidance sessions helped me a lot.
Manager Analytics & Data Science
Data Engineer | Pune
Intellipaat’s knowledgeable instructors aided me in transitioning from a fresher to a Data Engineer. They helped me understand topics and resolve doubts, allowing me to make a smooth transition.
Program Manager | Pune
Thanks to Intellipaat, I was able to switch to the role of a Program Manager from a Microsoft Dynamics Consultant. Gaining knowledge in the latest technologies as per industry standards helped me the most.
Microsoft Dynamics Consultant
Data Science Intern | Gurugram
I was able to achieve my goal of becoming a Data Science professional from being a lecturer due to Intellipaat. It offered a platform to learn data science from the best trainers. The real-life projects were good.
Data Science Intern
55% Average Salary Hike
$1,22,000 Highest Salary
10000+ Career Transitions
300+ Hiring Partners
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.
Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.
Assured Interviews upon submission of projects and assignments. Get interviewed by our 500+ hiring partners.
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
I am pursuing this program currently and the learning has been great. Trainers are professional and use real industry based scenarios to explain the topics. Also, the live classes are interactive.
The training provides enough study material, hands-on assignments, and projects that help learners gain more knowledge and required skills. The trainers and support team were very co-operative.
It was a great learning experience offered by the trainers of Intellipaat. They provided proper explanation, direction and with the included practice tests you can master the course.
Great experience learning from Intellipaat. In COVID, the Data Analytics courses proved to be helpful as it provided flexibility in learning. The trainers provided guidance in completing projects and assignments.
Extremely grateful to Intellipaat. The explanation of topics and concepts were simple and comprehensive. Also, the content was up-to-date and understandable, and the support team was equally helpful.
The course content is updated, industry-relevant and taught in-depth by the instructors. The instructors at Intellipaat are well-experienced. The Data Analytics course has helped me put the skills into practice
The course is thorough, well-structured and provides a comprehensive learning in the Data Analytics field. Also, the practice tests and projects helped me in building strong skills in analytics.
Total Admission Fee
|Regular Classes||23rd Jan 2022||08:00 PM IST||Weekend (Sat-Sun)|
This online master’s program by Belhaven University is designed to help you gain hands-on experience and help you become a successful Data Analytics professional. The program’s course content is aligned with industry standards and requirements, and will help you have a strong background in the various in-demand tools and skill sets. After the completion of the program, you will receive a master’s degree from Belhaven University.
The degree program includes several industry-relevant projects and assignments. Once you get your master’s degree, you will be qualified to apply for top-paying jobs around the world.
You can start by signing up for this master’s degree program in Data Analytics by Belhaven University. Once you successfully complete the program along with the projects and assignments, you will receive your master’s degree in Data Analytics.
Our Learning Management System (LMS) provides a customized learning experience that includes live sessions as well as self-paced videos. If you miss a live class, you will be able to watch the recorded version of the session without having to worry about missing the lesson.
The faculty at Belhaven University will be your program instructors.
Our course advisors will provide you with all the assistance you need regarding this master’s program. You can reach out to them for more information.
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