Master’s in Data Science & Gen AI

skillzrevo

Last Update October 5, 2024

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Curriculum

83 Lessons

Advanced Excel

Orientation (Introduction to Data Science, Scope of Data Science)00:00

Microsoft Excel Overview, Basic Navigation and Usage, Cell referencing, Formatting Excel, Advanced Formatting, Shortcuts and Basic Formulas00:00

Sorting, Filtering, Advanced Filtering, Charts, Types of Charts, Advanced Charting Techniques and Pivot Tables, Creating, Grouping and Summarizing Data00:00

Lookup Function, Vlookup, Using VLOOKUP with Multiple, Criteria Hlookup, Combining HLOOKUP with Other Functions, Match Function, Using MATCH for Dynamic Referencing00:00

Introduction to VBA & Macros, Understanding VBA basics, Debugging and error handling, Advanced VBA Techniques, Integrating VBA with Excel functions, Designing Effective Dashboards, Building a Dashboard00:00

Understanding the basics of data analysis, Data Import and Cleaning, Using Formulas and Functions, Data Visualization, Descriptive statistics00:00

Advanced Data Analysis Techniques, DAX, Scenario and Sensitivity Analysis, Dashboards and Reports, Case Studies and Real-World Applications, Practical examples of data analysis in Excel00:00

Python

Statistics

Machine Learning

Deep Learning

R- Programming

Introduction to R, Installing R and RStudio, Basics of RStudio IDE, Writing and executing R scripts, Variables and Data Type in R, Operators00:00

Creating vectors, Vector indexing and slicing, Vectorized operations, Creating matrices, Matrix operations, Matrix indexing, Creating lists, Creating data frames, Indexing and manipulating lists and data frames00:00

Conditional statements, Loops, Applying functions, Flow Control, Functions in R, Object-Oriented Programming in R, S3 and S4 classes, Methods and inheritance, Creating and using objects00:00

Creating and using factors, Working with dates and times, Reading and writing(CSV files and Excel files), Introduction to the readr and readxl packages00:00

Introduction to dplyr, Selecting, filtering, and arranging data, Grouping data, Summarizing data with summarize and mutate00:00

Data Manipulation in R- dplyr, Data Manipulation & Data Visualization in R- tidyr00:00

Introduction to Text Mining, Text Preprocessing, Document-Term Matrix (DTM) and TF-IDF, Exploratory Text Analysis, Sentiment Analysis00:00

Install Necessary Packages, Create a New Package, Package Structure, Writing Functions, Documenting Functions, Testing Your Package, Building and Checking and Sharing Your Package00:00

Introduction to APIs, Using the ‘httr’ Package, GET & POST Request, and Authentication, Introduction to Web Scraping, Using the ‘rvest’ Package, Handling Dynamic Content, Handling Sessions and Cookies00:00

Connecting to Databases in R, Packages Installation, Connect to Database, Execute Queries, Write Data, Disconnect and Error Handling00:00

Project Session00:00

Quiz : Introduction to R, RStudio, and Basic Concepts

Quiz : Data Structures in R and Data Manipulation with dplyr

SQL

Tableau

Power BI

Computer Vision

NLP

RL

Introduction to Gen AI & Huggingface transformers platform

Language Models and Transformer Models

Large Language Models (LLMs)

Langchain, AI Application Stack and Ethical Considerations

Your Instructors

skillzrevo

4.5/5

27 Courses

2 Reviews

261 Students

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