Data Science and AI For Beginners Masterclass
Rs. 499/- Only!
Next Session: 21st January 2024 | 10AM – 5PM IST
Level: Beginner | Hands-On Technologies: MS Excel & ChatGPT
✓ Learn Foundations of The “Unicorn” Skills Required From Scratch Including Machine Learning, Artificial Intelligence, ChatGPT
✓ Dive into the world of machine learning and deep learning, and understand their applications with real case studies
✓ Perform Data Science without Programming, and Master cleaning, transforming, and visualizing data effectively
✓ Acquire expertise in statistics and make data-driven decisions
✓ Explore the generative aI and chatGPT revolution and engineer prompts for effectively designing applications
✓ Prepare For Entry-Level Data Science Job Interviews
✓ Receive A Certificate Of Completion
✓ BONUSES: 50 Conceptual Exercises And 2 Cheatsheets!
What you will learn
The Masterclass covers the basics of Data Science, Machine Learning and Artificial Intelligence, ChatGPT from scratch, and introduces the learner to fundamental concepts that have shaped the field of Data Science. Intended for a non-technical audience, you’ll be able perform Data Science without programming after the course.
Live hands-on exercises on ChatGPT are covered where learners will engineer prompts either individually, or as a group, and receive feedback.
Prerequisites: There are no prerequisites other than a willingness to learn the field of Data Science.
1. what is data science
✓ Introduction to Data Science explaining why you should care about the hottest job of the 21st century
✓ Data Science Problems like regression, classification, time series forecasting, recommendation systems, A/B testing, clustering, anomaly detection, natural language processing, computer vision
✓ Data Science Lifecycle including data preprocessing, exploratory data analysis, feature engineering, model building, model evaluation and deployment
✓ Explore real-world case studies from various industries, including finance, healthcare, marketing, and more. Analyze how data science and AI have been applied to solve complex problems and drive business decisions.
✓ Discussion on Project Ideas using datasets from Kaggle, Google Datasets, FRED, OECD and other sources
3. Statistics for data science
✓ Descriptive Statistics including outliers, measures of central tendency, standard deviation, correlation and covariance
✓ Inferential Statistics including population vs. sample definitions, normal distribution, Poisson distribution, chi-squared distribution, binomial distribution, confidence intervals, central limit theorem
✓ Hypothesis Testing including null and alternate hypothesis, rejection region, significance level, p-values, type 1 and type 2 errors, z-tests and t-tests
5. generative ai & chatgpt revolution
✓ Learn Generative AI including what are foundation models, modalities of Generative AI such as image, video, text, audio etc.
✓ Discover revolutionary advancements in natural language processing (NLP) and AI with a focus on ChatGPT. Learn how AI-powered chatbots and conversational agents are changing the way businesses interact with customers.
✓ Explore ChatGPT including parameters, GPT model family and process of fine-tuning
✓ Delve into the art of prompt engineering, a crucial skill in fine-tuning AI models like ChatGPT. Understand how to formulate effective prompts to get the desired responses from AI models.
✓ Live Hands-on Exercises using Google's Bard for Prompt Engineering
2. introduction to machine learning and deep learning
✓ Introduction to Machine Learning explaining the technology, when it works best, its applications and fundamental concepts like train-validation-test splits, cross-validation, regularization, bias-variance tradeoff, evaluation metrics
✓ Introduction to Deep Learning explaining the field, breakthrough technologies of the last decade, and what led to the Generative AI wave
✓ Paradigm shift through neural networks explaining what artificial neural networks are and types of neural networks
4. MS Excel for data science
✓ Perform data preprocessing using data transformation with MS Excel functions including text and date functions. Validate data using rules to ensure data accuracy and consistency
✓ Analyze and summarize data using basic statistics, create visually appealing charts and graphs, master the art of creating PivotTables, and apply conditional formatting for data visualization
✓ Create and interpret a regression model, and perform statistical tests using Data Analysis ToolPak add-in
✓ Perform optimization and sensitivity analysis using Solver add-in
✓ Explore advanced MS Excel functions like VLOOKUP, INDEX-MATCH, and array formulas, and create simple macros to automate repetitive data tasks
BONUS MATERIALS
✓ Gain access to a collection of 50 conceptual exercises designed to help you prepare for data science interviews. These exercises cover a wide range of topics & scenarios commonly encountered in statistics.
✓ Receive 2 handy cheatsheets for quick reference:
(i) The Statistics for Data Science Cheatsheet provides overview of descriptive statistics, inferential statistics and hypothesis testing.
(ii) The Excel for Data Science Cheatsheet provides key Excel formulae and concepts to support your learning journey.
1. what is data science
✓ Introduction to Data Science explaining why you should care about the hottest job of the 21st century
✓ Data Science Problems like regression, classification, time series forecasting, recommendation systems, A/B testing, clustering, anomaly detection, natural language processing, computer vision
✓ Data Science Lifecycle including data preprocessing, exploratory data analysis, feature engineering, model building, model evaluation and deployment
✓ Explore real-world case studies from various industries, including finance, healthcare, marketing, and more. Analyze how data science and AI have been applied to solve complex problems and drive business decisions.
✓ Discussion on Project Ideas using datasets from Kaggle, Google Datasets, FRED, OECD and other sources
2. introduction to machine learning and deep learning
✓ Introduction to Machine Learning explaining the technology, when it works best, its applications and fundamental concepts like train-validation-test splits, cross-validation, regularization, bias-variance tradeoff, evaluation metrics
✓ Introduction to Deep Learning explaining the field, breakthrough technologies of the last decade, and what led to the Generative AI wave
✓ Paradigm shift through neural networks explaining what artificial neural networks are and types of neural networks
3. Statistics for data science
✓ Descriptive Statistics including outliers, measures of central tendency, standard deviation, correlation and covariance
✓ Inferential Statistics including population vs. sample definitions, normal distribution, Poisson distribution, chi-squared distribution, binomial distribution, confidence intervals, central limit theorem
✓ Hypothesis Testing including null and alternate hypothesis, rejection region, significance level, p-values, type 1 and type 2 errors, z-tests and t-tests
4. MS Excel for data science
✓ Perform data preprocessing using data transformation with MS Excel functions including text and date functions. Validate data using rules to ensure data accuracy and consistency
✓ Analyze and summarize data using basic statistics, create visually appealing charts and graphs, master the art of creating PivotTables, and apply conditional formatting for data visualization
✓ Create and interpret a regression model, and perform statistical tests using Data Analysis ToolPak add-in
✓ Perform optimization and sensitivity analysis using Solver add-in
✓ Explore advanced MS Excel functions like VLOOKUP, INDEX-MATCH, and array formulas, and create simple macros to automate repetitive data tasks
5. generative ai & chatgpt revolution
✓ Learn Generative AI including what are foundation models, modalities of Generative AI such as image, video, text, audio etc.
✓ Discover revolutionary advancements in natural language processing (NLP) and AI with a focus on ChatGPT. Learn how AI-powered chatbots and conversational agents are changing the way businesses interact with customers.
✓ Explore ChatGPT including parameters, GPT model family and process of fine-tuning
✓ Delve into the art of prompt engineering, a crucial skill in fine-tuning AI models like ChatGPT. Understand how to formulate effective prompts to get the desired responses from AI models.
✓ Live Hands-on Exercises using ChatGPT for Prompt Engineering
BONUS MATERIALS
✓ Gain access to a collection of 50 conceptual exercises designed to help you prepare for data science interviews. These exercises cover a wide range of topics and scenarios commonly encountered in data science interviews.
✓ Receive 2 handy cheatsheets for quick reference:
(i) The Data Science and AI for Beginners Cheatsheet provides overview of data science, machine learning fundamentals, deep learning, ChatGPT and Generative AI
(ii) The Excel for Data Science Cheatsheet provides key Excel formulae and concepts to support your learning journey.
Instructor
anant agarwal
Anant works as a Data Science Manager at a Fortune Global 500 company. An alumnus of The Doon School and IIT Kharagpur, he holds an MS from University of Minnesota Twin Cities where he received the Forrest Fellowship and MBA from Indian School of Business Hyderabad with Dean's and Merit List awards.
Anant has been featured as a Guest Speaker at Analytics Vidhya's DataHack Summit and DataHour sessions, Zhejiang University China and has been a Judge in Responsible AI category for Altair Global Enlighten Award.
He is also a 2-time 99.8 percentiler in CAT, National-level Squash player and a fingerstyle guitarist.
For any assistance or queries, please reach out to us at [email protected]
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