Data Science Masterclass

Name: Data Science Masterclass
Rating: 3.9 (3 reviews)

Unlock the Power of Data from Fundamentals to Business & Marketing Applications!

Created byEduonix Learning Solutions

Last updated 8/2024

English

What you'll learn

Discover how various industries leverage data to drive decision-making, optimize operations, and innovate.
Understand why being data literate is essential in today’s world and how it can benefit your career and everyday life.
Learn about different types of data, including structured and unstructured data, and see real-world examples.
Gain skills in basic data analysis techniques to uncover patterns and insights from data.
Explore different data storage methods, from simple files and databases to complex big data systems.
Learn how to present data visually using charts, graphs, and other visualization tools.
Apply data science techniques to optimize business processes and increase revenue through predictive modeling.
Leverage data science to drive marketing strategy, including customer segmentation, personalized marketing, and real-time targeting.

Course content

3 sections • 39 lectures • 5h 58m total length

How Businesses use Data10:14
Why Should we Learn About Data9:13
Types of Data14:00
Data Analysis Driving Lnsights10:47
Organize and clean data before analysis and visualization to drive insights. Explore top five products by unit sold and by revenue with bar charts in Python using sales.csv.
Storage types8:01
Visualisations Charts Graphs12:02
Data Engineering Data Science13:36

Introduction2:28
Understand the role of Data Science in Business Decision Making10:17
Data Science Tools & Techniques10:53
Data Science life cycle - GenAI & LLMs0:51
Optimizing Business Processes & Maximizing Revenue15:14
Machine Learning for Revenue Prediction14:16
Explore a worked sales forecasting example in Python using Jupyter Notebook, merging sales, product, and customer data, creating time-based features, and training a random forest regressor to forecast ten-day revenue.
Demo10:50
Customer Lifetime Value Analysis0:45
Explore customer behavior and market trends through three lessons in data science for business: machine learning for market basket analysis with Python, and customer segmentation with time series forecasting.
Demand Forecasting & Dynamic Pricing5:49
Gain Insights into Customer Behavior & Market Trends0:45
Gain insights into customer behavior and market trends by exploring machine learning for market basket analysis with a Python example, plus customer segmentation using clustering and time series forecasting.
Machine Learning for Market Basket Analysis5:49
Python Demo12:48
Machine Learning for Customer Segmentation9:13
Time Series Analysis for Trend Forecasting5:15
Conversational Chat Solution for Customer Engagement4:25
Understanding Generative AI - LLMs8:09
Practical Application17:24

Introduction1:52
Explore how data science drives marketing decisions, personalizes customer experiences, and boosts engagement and ROI. Learn to analyze data, segment audiences, and apply targeted advertising with hands-on mini projects.
Learn how DS can drive Marketing Strategy & Decision Making8:38
Data Science LifeCycle & ML Algorithm13:58
Explore the data science lifecycle from framing the sales forecasting problem to deploying models, detailing data understanding, preparation, modeling, evaluation, and maintenance, with regression, classification, clustering, reinforcement, and neural networks.
GenAI & LLM's13:34
Explore generative AI and large language models, their NLP capabilities and world knowledge, and how retrieval augmented generation enables enterprise data with chatbots, SEO, and personalized marketing.
Understanding Consumer Behavior Through Data Analysis & Segmentation4:01
Analyze consumer behavior through data analysis and segmentation to tailor offerings, personalize experiences, and optimize marketing strategies that boost engagement and revenue.
Behavioral Segmentation - Mini Project Demo11:01
Predictive Modelling of Customer Lifetime Value(CLV)5:32
Customer Journey Mapping4:14
Map the customer journey by visualizing touchpoints across channels and using data from CRM, website analytics, store, and social media to drive segmentation and data science driven personalization.
Customer Journey Mapping0:47
Predictive Lead Scoring using Machine Learning Models14:19
Demo25:19
Machine Learning for Real-time Personalization11:39
Market Mix Modeling9:45
Explore market mix modeling to optimize marketing spend across channels and geographies using data science, predictive modeling, and simulations to boost marketing efficiency.
Creating a Conversational Chat Solution for Product Related Customer Queries7:12
Practical Implementation13:34

Requirements

Basic computer skills and internet access.
Prior knowledge of data or programming is helpful.
A willingness to learn and explore new concepts.

Description

In an era where data reigns supreme, understanding how to harness its power is key to personal, professional, and business success.

This comprehensive masterclass, "Data Science Masterclass" is designed to take you from the foundational principles of data literacy to advanced applications in business and marketing.

We begin with "Data Literacy for Everyone," tailored for beginners, where you'll learn the essentials of data, from its types to how it’s used across various industries. You'll explore basic data analysis techniques, understand different data storage methods, and learn how to visually present data through charts and graphs. This lays the groundwork, ensuring you have a strong foundation in data literacy, essential for navigating today's data-driven world.

Next, we delve into "Data Science for Business," where you’ll see how data science is applied in real-world business scenarios. From optimizing business processes to maximizing revenue, this covers essential topics like machine learning for revenue prediction, customer lifetime value analysis, and demand forecasting. You’ll also gain insights into customer behavior and market trends, learning how to use data science to inform strategic business decisions.

Finally, in "Data Science for Marketing," we focus on applying data science techniques to drive marketing strategy and decision-making. You’ll learn how to analyze consumer behavior, segment your audience, and create personalized marketing campaigns. It also covers advanced topics like predictive lead scoring, real-time personalization, and market mix modeling, equipping you with the skills to enhance your marketing efforts using data science.

Whether you're a student, professional, or business owner, this masterclass will equip you with the skills needed to understand, analyze, and apply data effectively.

By the end of this course, you will be well-versed in data literacy and proficient in using data science to drive business and marketing success.

Enroll in "Data Science Masterclass" today and take the first step towards becoming a data-driven professional!

Who this course is for:

Ideal for those who want to enhance their understanding of data and its applications in various fields.
Perfect for individuals looking to leverage data for better decision-making and business strategies.
Great for anyone interested in the basics of data and its real-world uses.
Suitable for those considering a career in data-related fields and seeking a solid foundation.
Perfect for professionals aiming to integrate data science into business and marketing strategies.

Data Science Masterclass

What you'll learn

Explore related topics

Course content

Data Literacy7 lectures • 1hr 18min

Data Science For Business17 lectures • 2hr 15min

Data Science for Marketing15 lectures • 2hr 25min

Requirements

Description

Who this course is for: