Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Master Course in Data Science and Business Analytics 3.0
Rating: 4.1 out of 5(407 ratings)
26,627 students

Master Course in Data Science and Business Analytics 3.0

Data Science, Business Analytics, machine learning, Statistics, Data Analyst, Business Analyst, Data Analysis
Created byDr. José Prabhu J
Last updated 7/2025
English
English [Auto],

What you'll learn

  • Learning the Introduction and Importance of Data Science and Business Analytics
  • Understanding the Data Handling, Data Acquisition, Data Warehousing, Visualization & Stochastic Models
  • Analyze the process of Attention-based neural networks , Scientific Computing, Optimization Techniques & Matrix Computations
  • Learn How business analytics helps in Finance, HR professionals for business decision making
  • Learn How to become a data scientist & business analyst? what are the skills need?

Course content

2 sections • 11 lectures • 2h 39m total length

  • Introduction and Importance of Data Science and Business Analytics14:01

    Explore data science by combining statistics, machine learning, and computer science to extract insights, power business analytics in health, finance, retail, and logistics with descriptive, diagnostic, predictive, and prescriptive analytics.

  • Data Handling, Data Acquisition, Data Warehousing, Visualization & Stochastic...9:14

    Explore data handling, data acquisition, data warehousing, visualization, and stochastic models to ensure clean, organized, and secure data for accurate analysis.

  • Attention-based neural networks , Scientific Computing, Optimization Techniques.10:51

    Explore attention-based neural networks that focus on key input parts for natural language processing, vision, and speech, and learn how scientific computing, optimization techniques, and matrix computations solve data problems.

  • How business analytics helps in Finance, HR professionals for business decision10:40

    Explore how business analytics empowers finance and HR professionals to make informed decisions by analyzing data for investments, risk, fraud detection, customer insights, and compliance.

  • How to become a data scientist & business analyst? what are the skills need?12:24

    Outline the steps to become a data scientist and business analyst, from a bachelor’s degree and internships to certifications, master’s or PhD, experience, and a strong portfolio.

  • Big Data in Business13:02

    Master the fundamentals of big data, the three v's, and how data-driven decision making and personalized experiences drive business, using Hadoop, Spark, Python, and R, with GDPR and CCPA privacy.

  • Big Data Applications in Human Resources (HR)12:42

    Leverage big data and data analytics to transform HR, enabling accurate workforce planning, skill-gap analysis, proactive candidate sourcing, and data-driven recruitment, performance management, and employee engagement.

  • Big Data Applications in Finance13:59

    Explore how big data drives risk assessment, real-time monitoring, and fraud detection in finance, enabling predictive analytics, adaptive risk modeling, and personalized customer segmentation.

  • Big Data in Marketing11:06

    Explore how big data in marketing reveals consumer insights, enables predictive analytics, and powers targeted campaigns, campaign optimization, and social media analytics for brand management and customer engagement.

  • Machine Learning and Data Science28:43

    Explore data science and machine learning, from data collection and cleaning to predictive modeling, visualization, and decision making. Learn supervised and unsupervised learning, model evaluation, and deployment for real-world applications.

  • Building Effective Dashboards: Enhancing Data Analytics and Reporting23:05

    Develop dashboards that turn raw data into actionable insights through clear visualizations and KPI-driven reporting, using tools like Power BI and Tableau, with data collection, cleaning, and transformation.

Requirements

  • Basic skills of data base management, basic business analysis skills need to understand the concepts of Data science and Business Analytics

Description

Master course in data science and business analytics 3.0

Data science

Hey there! Ever wondered how data scientists work their magic? Well, data science is like a superpower that helps us dig out precious gems of knowledge from all sorts of data. It's a mix of statistical analysis, machine learning, data visualization, and computer programming that helps us make sense of complex data sets.

The ultimate goal of data science is to uncover hidden patterns, trends, and connections within data, so we can make smart decisions based on solid insights. It's like detective work, but with data as our crime scene.

To crack the case, data scientists follow a series of steps. They start by collecting data from different sources and then clean and prepare it for analysis. Next, they dive deep into the data, exploring its secrets and relationships.

But data science doesn't stop there! It finds its applications in various fields like business, finance, healthcare, marketing, and social sciences. In today's data-driven world, organizations are racing to leverage their data assets to gain an edge, optimize their processes, and make informed decisions.

So, the next time you hear about data science, remember it's the superhero behind the scenes, unveiling the insights that shape our world.

Ever wondered how businesses make those smart decisions? Well, that's where business analytics comes into play. It's like a secret weapon that uses data analysis and statistical methods to unlock valuable insights and help businesses make informed choices.

Business Analytics

Business analytics is all about crunching numbers and analyzing past performance to understand what worked and what didn't. It involves collecting, cleaning, and modeling data to reveal trends, patterns, and even predict future outcomes. It's like having a crystal ball for business success!

But it doesn't stop there. Business analytics covers a wide range of activities, from visualizing data to diving deep into statistical analysis. Its main goal is to understand business data and use those insights to optimize processes, boost efficiency, and make better decisions.

The magic of business analytics isn't limited to one area. It's a versatile tool that finds its applications in marketing, finance, operations, supply chain management, human resources, and customer relationship management. Basically, it's like a Swiss army knife for business improvement!

By leveraging data and analytics, organizations gain a competitive edge. They can improve operations, identify growth opportunities, manage risks, and enhance overall performance. It's all about making data-driven decisions and staying ahead of the game in today's fast-paced business environment.

So, the next time you see a business making strategic moves, you'll know that business analytics is the wizard behind the scenes, helping them navigate the path to success.

1. Introduction and Importance of Data Science and Business Analytics

2. Data Handling, Data Acquisition, Data Warehousing, Visualization & Stochastic Models

3. Attention-based neural networks , Scientific Computing, Optimization Techniques & Matrix Computations

4. How business analytics helps in Finance, HR professionals for business decision making

5. How to become a data scientist & business analyst? what are the skills need?

and updated lectures coming soon !

Enroll now and learn today !

Who this course is for:

  • All UG and PG Business, IT and Computer Science Students
  • Interested learners to learn about the concepts of Data Science and Business Analytics

Report abuse