Shashank Kalanithi Courses

R for Data Scientists and Data Analysts

1 rating

An introductory tour of R programming, from variables and vectors to functions, control statements, and loops.

• 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

Analyze a 40 GB web dataset to estimate which city is most influential on Instagram using data cleaning, machine learning, visualization, and a dashboard.

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

The Google Guide to Exploratory Data Analysis - With Code

Apply exploratory data analysis with code to productivity data, using categorical summaries, textual and date analysis, and correlation visualizations.

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

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

Learn Excel fundamentals for data analysis, from formulas and lookups to CSV import, pivot tables, Goal Seek, Solver, and macros.

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

Machine Learning for Beginners - Data Scientists and Analysts

A beginner primer that takes machine-learning projects from CRISP-DM planning and data cleaning through regression, classification, tuning, and evaluation.

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

Exploratory Data Analysis

Explore a new dataset with fresh eyes, using filtering, reshaping, and histograms to uncover meaningful insights.

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

Practical Statistics for Data Scientists - Statistical Experiments Significance Testing

An overview of statistical experiments and significance testing, including A/B tests, resampling, p-values, ANOVA, and F-statistics.

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

Practical Statistics for Data Scientists - Data and Sampling Distributions

An overview of sampling distributions, the central limit theorem, bootstrapping, and confidence intervals for data scientists.

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

Hands on Machine Learning - Unsupervised Learning

An overview of unsupervised learning through clustering, image segmentation, dimensionality reduction, and Gaussian mixture models.

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

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

Transform SurveyMonkey data in R by importing, reshaping, dropping columns, joining results, and exporting the cleaned data to Excel.

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

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

A practical walkthrough of using Python and the Bing Maps API to find schools within a defined area.

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

Python for Data Analysts and Data Scientists

Learn to analyze data with Python using Jupyter notebooks, NumPy, and pandas.

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