SEO for beginners (2023) : Learn all the SEO basics for free
SEO for beginners (2023) : Learn all the SEO basics for free
In this search engine optimization beginners course you'll learn everything you need to know about SEO in just 2 hours
Understand the value of data for business
Solve common business problems in Marketing, Sales, Customer Clustering, Banking, Real Estate, Insurance, Travel and more!
Python, Pandas, Matplotlib & Seaborn, SkLearn, Keras, Tensorflow, NLTK, Prophet, PySpark, MLLib and more!
Machine Learning from Linear Regressions (polynomial & multivariate), K-NNs, Logistic Regressions, SVMs, Decision Trees & Random Forests
Unsupervised Machine Learning with K-Means, Mean-Shift, DBSCAN, EM with GMMs, PCA and t-SNE
Build a Product Recommendation Tool using collaborative & item/content based
Hypothesis Testing and A/B Testing - Understand t-tests and p values
Natural Langauge Processing - Summarize Reviews, Sentiment Analysis on Airline Tweets & Spam Detection
To use Google Colab's iPython notebooks for fast, relaible cloud based data science work
Deploy your Machine Learning Models on the cloud using AWS
Advanced Pandas techniques from Vectorizing to Parallel Processsng
Statistical Theory, Probability Theory, Distributions, Exploratory Data Analysis
Predicting Employee Churn, Insurance Premiums, Airbnb prices, credit card fraud and who to target for donations
Big Data skills using PySpark for Data Manipulation and Machine Learning
Cluster customers based on Exploratory Data Analysis, then using K-Means to detect customer segments
Build a Stock Trading Bot using re-inforement learning
Apply Data Science & Analytics to Retail, performing segementation, analyzing trends, determining valuable customers and more!
How to apply Data Science in Marketing to improve Conversion Rates, Predict Engagement and Customer Life Time Value
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