Masters in Data Science and Analytics

BY
Careerera

Learn about advanced techniques of data gathering and data analytics with the Masters in Data Science and Analytics course.

Mode

Online

Duration

12 Months

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom +1 more
Mode of Delivery Video and Text Based
Frequency of Classes Weekends

Course overview

The world is surrounded by data. Every day, the volume and diversity of data that we gather keep growing, from basic retail transaction data to millions of sophisticated and private medical records. There is a rising need for individuals who can regulate and manage the usage of data. The Masters in Data Science and Analytics online course provides powerful analysis training to candidates to instill the capacity to draw insights from massive data and create automated artificial intelligence systems. 

The Masters in Data Science and Analytics training is extremely practical, incorporating business strategy, project-based learning, case studies, particular electives, and simulations addressing the analytical needs of various business areas. Collaborations with corporate partners provide learners with access to actual data sets as well as the opportunity to focus on contemporary business challenges.

The Masters in Data Science and Analytics syllabus delves deeply into advanced techniques, data-gathering, and data analytics technologies. This program enables students to develop their multidisciplinary abilities while also gaining a deep understanding of applied and scientific expertise in analytics and data science.

The highlights

  • Multiple Simulation Exams
  • Industrial Projects
  • Industry Based Trainers
  • Student Handouts
  • Job Assistance
  • 12 Months classes
  • Course Completion Certificate
  • Live Online lectures

Program offerings

  • Assignments
  • Online learning
  • Examinations
  • Videos
  • Surprise tests
  • Capstone projects
  • Notes
  • Mock papers

Course and certificate fees

certificate availability

Yes

certificate providing authority

Careerera

Who it is for

The Masters in Data Science and Analytics online course will be beneficial to candidates who want to become Data ScientistQuantitative AnalystData AnalystBusiness Analyst, etc.

Eligibility criteria

  • Graduation in any discipline
  • 0-5 years of professional experience(Freshers can also apply)

Certification Qualifying Details

To qualify for the Masters in Data Science and Analytics certification, candidates pass an exam conducted by Careerera at the end of the course.

What you will learn

Data science knowledge Knowledge of python Tableau knowledge Sql knowledge

After completing the Masters in Data Science and Analytics online training from Careerera, students will learn about SQL and Python to manage and mine data. Candidates will learn Tableau for data visualizationExcel for statistical data analysis along predictive statistical modeling. 

The syllabus

Introduction to Analytics

  • Introduction to Business Analytics
  • R for Data Science
  • Introduction to R and R-Studio
  • Dealing with Data using R
  • Visualization using R
  • Analysis of Variance
  • Regression Analysis
  • Dimension Reduction Techniques

Statistical Method for Decision Making

  • Descriptive Statistics
  • Introduction to Probability
  • Probability Distributions
  • Hypothesis Testing and Estimation
  • Goodness of Fit

Business Finance

  • Fundamentals of Finance
  • Working Capital Management
  • Capital Budgeting
  • Capital Structure

Marketing and CRM

  • Core Concepts of Marketing
  • Customer Lifetime Value

Data Mining

  • Introduction to Supervised and Unsupervised Learning
  • Clustering
  • Decision Trees
  • Random Forest
  • Neural Networks

Predictive Modeling

  • Multiple Linear Regression
  • Logistic Regression
  • Linear Discriminant Analysis

Time Series Forecasting

  • Introduction to Time Series
  • Correlation
  • Forecasting
  • Autoregressive models

Machine Learning

  • Handling Unstructured Data
  • Machine Learning Algorithms
  • Bias Variance trade-off
  • Handling Unbalanced Data
  • Boosting
  • Model Validation

Optimization Techniques

  • Linear programming
  • Goal Programming
  • Integer Programming
  • Mixed Integer Programming
  • Distribution and Network Models

Marketing and Retail Analytics

  • Marketing and Retail Terminologies
  • Customer Analytics
  • KNIME
  • Retail Dashboard
  • Customer Churn
  • Association Rules Mining

Web & Social Media Analytics

  • Web Analytics: Understanding the metrics
  • Basic & Advanced Web Metrics
  • Google Analytics: Demo & Hands-on
  • Campaign Analytics
  • Text Mining

Finance & Risk Analytics

  • Why Credit Risk-Using a market case study
  • Comparison of Credit Risk Models
  • Overview of Probability of Default (PD) Modeling
  • PD Models, types of models, Steps to make a good model
  • Market Risk
  • Value at Risk - using a stock case study

Supply Chain & logistics Analytics

  • Introduction to Supply Chain
  • Dealing with Demand uncertainty
  • Designing Optimal Strategy using Case Study
  • Inventory Control & Management
  • Inventory classification
  • Inventory Modeling
  • Costs Involved in Inventory
  • Economic Order Quantity
  • Forecasting
  • Advanced Forecasting Methods
  • Examples & Case Studies
  • Visualization and insights

Data Visualization using Tableau

  • Introduction to Data Visualization
  • Introduction to Tableau
  • Basic charts and dashboard
  • Descriptive Statistics, Dimensions, and Measures
  • Visual analytics: Storytelling through data
  • Dashboard design & principles
  • Advanced design components/ principles: Enhancing the power of dashboards
  • Special chart types
  • Case Study: Hands-on using Tableau
  • Integrate Tableau with Google Sheets

Languages and tools

  • R and Python
  • Tableau
  • SAS (Online Module)
  • Hackathons

Capstone project

  • Group Presentation

Admission details

To get admission to the Masters in Data Science and Analytics tutorial, follow the steps mentioned below:

Step 1. Open the official course page by following the link below

(https://www.careerera.com/data-science/masters-in-data-science-and-analytics)

Step 2. Apply online by filling out the application form on the website.

Step 3. The faculty committees will review all applications and choose applicants based on their qualifications.

Step 4. Selected candidates will be subjected to an interview, which will be graded by a committee of faculty members.

Step 5. The shortlisted individuals will subsequently be sent an admission proposal.

How it helps

Candidates pursuing Masters in Data Science and Analytics course will be benefited in the following ways:

  • Improve Decision-Making Procedures (significance and quality) to accelerate the process of decision-making.
  • Improve the alignment with strategy and cost-effectiveness
  • Increase competitiveness and revenue
  • Create a unified view of corporate information and sync operational and financial strategies.
  • Learn to disseminate knowledge to a larger audience.

FAQs

Who is the course provider of the online Masters in Data Science and Analytics course?

The Carrera is the course provider of the online Masters in Data Science and Analytics course.

Can I change my batch of Masters in Data Science and Analytics?

Yes, candidates can change the batch of Masters in Data Science and Analytics according to their availability and convenience.

Is there any online examination for Masters in Data Science and Analytics certification?

Yes, candidates will have to appear and pass an examination to qualify for Masters in Data Science and Analytics certification.

What is the duration of the Masters in Data Science and Analytics training?

The duration of the Masters in Data Science and Analytics training is 12 months.

What are the career scopes after completing the Masters in Data Science and Analytics program?

There are various career scopes after completing the Masters in Data Science and Analytics program such as Business analyst, Data analyst, Data scientist, etc.

Articles

Popular Articles

Latest Articles

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Download the Careers360 App on your Android phone

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

Careers360 App
150M+ Students
30,000+ Colleges
500+ Exams
1500+ E-books