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Belhaven

Advanced Certification Program in Data Analytics

7,292 Ratings

Ranked among the best US regional universities for 8 consecutive years - U.S. News & World Report

This Advanced program in Data Analytics by 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 PLA Credits from Belhaven University.

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Learning Format

Online

Duration

7 Months

Career Services

by Intellipaat

12 PLA Credits from

Belhaven University

400+

Hiring Partners

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About Program

In this program in data analytics, you will gain business domain knowledge, skills in data transformation, storytelling, the 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.

Key Highlights

50+ Live sessions
218 Hrs Self-paced Videos
200 Hrs Projects and Exercises
PLA Credits from Belhaven University
1:1 with Industry Experts
Flexible Schedule
Lifetime Free Upgrade
Mentor Support

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:

  • Recognized three majors for their quality and programming – Colleges of Distinction
  • Ranked among the best regional universities in the South for eight consecutive years – U.S. News & World Report

On the completion of this program, you will:

  • Receive PLA Credits from Belhaven University

Career Transition

55% Average Salary Hike

$1,22,000 Highest Salary

10000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Who can apply for this advanced program in data analytics?

  • Non-IT professionals in sectors such as HR, banking, marketing and sales, etc.
  • BI Professionals
  • Software Developers
  • Information Architects
  • Data Analytics Professionals
  • Project Managers
who-can-apply

What roles does a data analytics professional play?

Data Analytics Specialist

Maintain the specifications of data engineering and meet the objectives in online data visualization platforms such as Alteryx and Tableau.

Data Analyst

Create predictive models, such as churn likelihood, customer lifetime value, and more, and help the team in the implementation of these models accordingly.

Data Scientist

Develop models concerning numerous cost components that power the various margin awareness initiatives.

Visualization and Reporting Analyst

Build attractive, interactive, and intuitive data visualizations including reports, graphs, presentations, and dashboards.

Business Intelligence Analyst

Identify, build, and execute the techniques of data analysis to allow the team to make significant impacts on the business.

Business Analyst

Generate detailed reports and high-quality dashboards and give presentations.

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Skills to Master

SQL

Data Wrangling

Data Analysis

Prediction algorithms

Data visualization

Time Series

Machine Learning

Power BI

Advanced Statistics

Data Mining

R Programming

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Tools to Master

R Adv-Excel SQL Power-BI-1 Presto python Knime
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Master’s in Data Analytics Course Content

Live Course

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.

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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
2.7 Subqueries
2.8 SQL functions, views, and stored procedures
2.9 User-defined functions
2.10 SQL performance and optimization
2.11 Advanced concepts

Correlated subquery
Grouping sets

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3.1 Introduction to Presto
3.2 Writing Queries in Presto on large data sets.
3.3 Data Transformation using Presto

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4.1 Descriptive Statistics

  • Mean
  • Median
  • Mode
  • Tables
  • Charts

4.2 Introduction to Probability

  • Probability in Business Analytics

4.3 Probability Distributions

  • Binomial distribution
  • Poisson distribution
  • Normal distribution

4.4 Hypothesis Testing and Estimation

  • Hypothesis testing
  • Estimation

4.5 Goodness of Fit

  • How the sample adequately fits a distribution from an observational set
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5.1 Business domains

  • Finance
  • Marketing
  • Retail
  • Supply Chain

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

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6.1 Linear programming
6.2 Goal programming
6.3 Integer programming
6.4 Mixed integer programming
6.5 Distribution and network models

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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

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8.1 Programming with R
8.2 Advance Statistics

  • ANOVA
  • Regression analysis
  • Dimension reduction techniques

8.3 Data Mining

  • Supervised and unsupervised learning
  • Clustering
  • Market Basket Analysis
  • Decision trees
  • Random forest
  • Neural networks
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9.1 Multiple linear regression
9.2 Logistic regression
9.3 Linear discriminant analysis

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10.1 Introduction to time-series
10.2 Correlation
10.3 Forecasting
10.4 Autoregressive models

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11.1 Handling unstructured data
11.2 Machine Learning algorithms
11.3 Bias variance trade-off
11.4 Handling unbalanced data
11.5 Boosting
11.6 Model validation

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12.1 Hyper parameter optimization
12.2 Advance Machine Learning Libraries – XGBoost
12.3 Solving Problems on Kaggle

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13.1 Framework to Data Science strategy
13.2 Mapping Data Science with data architecture strategy
13.3 Executing Data Science strategy

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14.1 Marketing & retail analytics
14.2 Social analytics
14.3 Logistics and supply chain
14.4 Financial analytics

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15.1 Introduction to Power BI
15.2 Data Extraction
15.3 Data Transformation – Shaping & Combining Data
15.4 Data Modelling and DAX
15.5 Data Visualisation with analytics
15.6 Power BI Service (Cloud), Q&A, and Data Insights
15.7 Power BI Settings, Administration and Direct Connectivity
15.8 Embedded Power BI with API and Power BI
15.9 Power BI Advance and Power BI Premium

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In the data science and 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.

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Disclaimer
Intellipaat reserves the right to modify, amend or change the structure of module & the curriculum, after due consensus with the university/certification partner.

Program Highlights

50+ Live Sessions
25+ Industry Projects and Case Studies
200 Hours Projects and Exercises
24*7 Online Learning Support

Project Work

The projects in this program are industry-based and will help learners gain hands-on training in the domain of Data Analytics.

Reviews

( 5 )

Career Services By Intellipaat

Career Services
guaranteed
Placement Assistance
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Exclusive access to Intellipaat Job portal
Mock Interview Preparation
1 on 1 Career Mentoring Sessions
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Career Oriented Sessions
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Resume & LinkedIn Profile Building
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Our Alumni Works At

Hiring-Partners

Program Fee

Total Admission Fee

$ 1,499

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Program Cohorts

Next Cohorts

Date Time Batch Type
Regular Classes 19th Nov 2024 07:00 AM IST Weekday (Tue - Fri)

Master’s in Data Analytics FAQs

Why should I sign up for this Data Analytics Advanced program?

This online advanced program will give you hands-on experience and help you become a successful data analytics professional. You will have a strong background in various skill sets and tools that are highly in demand in the corporate world. After completing the program, you will receive PLA Credits from Belhaven University.

You will also get the opportunity to work on several projects and assignments that are highly relevant in the real-industry environment. Upon completion of the program, you will be qualified to apply to some of the top-paying jobs around the world.

You can start by signing up for our data analytics online advanced program. Once you successfully complete the program, as well as the projects and assignments, you will receive PLA Credits from Belhaven University.

Our Learning Management System (LMS) provides a customized learning experience with live sessions as well as self-paced videos. If you happen to miss a live session for any reason, you will be able to watch the recorded video of the session without having to worry about missing a lesson.

You can get in touch with our course advisors for more information on the data analytics advanced program and they will provide you with all the assistance you need.

Belhaven University PLA credits assessed for this course is 12.

*Note, there is a maximum number of PLA credits that may be applied toward a degree program. Refer to the Belhaven University website for the latest on PLA policies.

Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.

Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.

Learner can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay batch defer fees which is equal to 10% of the total course fees paid for the program + Taxes.

Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.

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What is included in this course?

  • Non-biased career guidance
  • Counselling based on your skills and preference
  • No repetitive calls, only as per convenience
  • Rigorous curriculum designed by industry experts
  • Complete this program while you work