Shashank Kalanithi Courses

R for Data Scientists and Data Analysts

1 rating

Master essential R skills for data analysis and science, covering variables, vectors, functions, and control structures in a comprehensive tutorial.

• YouTube
• 2 hours 20 minutes
• Self-Paced
• Free Video

Hands-On Machine Learning

Master practical machine learning through hands-on projects covering classification, SVMs, decision trees, ensemble methods, and unsupervised learning techniques.

• YouTube
• 5 hours 30 minutes
• Self-Paced
• Free Video

Does Instagram Think You Live in an Influential City? - A Deep Dive Into Web Data

Explore Instagram's city influence using a 40GB dataset. Learn data cleaning, ML algorithms, visualization, and dashboard creation for impactful business insights.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

The Google Guide to Exploratory Data Analysis - With Code

Learn to apply Google's Exploratory Data Analysis guide using productivity data, covering data cleaning, visualization, and statistical techniques for insightful analysis and feature selection.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Beginner's Excel Tutorial - Data Science-Analysis and Beyond

Learn essential Excel skills for data analysis, including functions, lookups, formatting, and advanced features like pivot tables and macros. Gain practical knowledge for data-driven decision-making.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Machine Learning for Beginners - Data Scientists and Analysts

Comprehensive introduction to machine learning for data professionals, covering key concepts, techniques, and practical applications in business contexts, with hands-on coding examples.

• YouTube
• 2 hours 27 minutes
• Self-Paced
• Free Video

Exploratory Data Analysis

Learn techniques for extracting meaningful insights from new datasets through hands-on exploratory data analysis, covering data import, filtering, visualization, and advanced manipulation methods.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Practical Statistics for Data Scientists - Statistical Experiments Significance Testing

Learn statistical experiments and significance testing for data science, covering A/B testing, hypothesis testing, resampling, and ANOVA, with practical examples and insights.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Practical Statistics for Data Scientists - Data and Sampling Distributions

Explore data and sampling distributions in statistics for data science, covering random sampling, bias, regression, and key statistical concepts with practical examples.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Hands on Machine Learning - Unsupervised Learning

Explore unsupervised learning techniques including clustering, dimensionality reduction, and Gaussian mixture models. Hands-on implementation using Python libraries for data analysis and visualization.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Data Analyst Setup for Productivity - Python, R, SQL

Explore a data analyst's productivity setup, including Miniconda, Python environments, VSCode, R Studio, and essential hardware recommendations for efficient data analysis workflows.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Day in the Life of a Data Analyst - SurveyMonkey Data Transformation Using R

Explore data transformation using R for SurveyMonkey data, covering importing, concatenating, melting, joining, and exporting. Learn practical skills for efficient data analysis and manipulation.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

Day in the Life of a Data Analyst - Bing Maps API

Explore a real-world data analysis task using Python and Bing Maps API to gather school location data, showcasing workflow structure and geospatial analysis techniques.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Python for Data Analysts and Data Scientists

Comprehensive guide to Python essentials for data analysis, covering Jupyter notebooks, data structures, libraries, and advanced pandas operations for effective data manipulation and insights.

• YouTube
• 2 hours 49 minutes
• Self-Paced
• Free Video