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Learn segmentation, targeting, positioning, marketing mix, and price elasticity to enhance your customer analytics skills and drive business growth.
Learn to visualise data using Tableau and build dashboards in Tableau. The tutorial also covers adding a filter in Tableau, adding a secondary axis, blending data and joins in Tableau
Learn to create, manipulate, and perform operations on matrices in R, covering creation methods, indexing, slicing, arithmetic, and advanced matrix operations for data science applications.
Learn to create, import, export, and manipulate data frames in R. Master essential techniques for data analysis, including subsetting, extending, and transforming datasets.
Comprehensive tutorials covering key statistical concepts, data visualization, clustering, probability, and regression for aspiring data scientists.
Learn Python programming fundamentals through hands-on tutorials covering variables, data types, functions, and data visualization. Ideal for beginners looking to start a career in data science.
Learn fundamental probability concepts, distributions, and statistical techniques essential for data science and analytics.
Learn key probability distributions including discrete uniform, binomial, Poisson, normal, and chi-squared. Gain essential statistical knowledge for data science applications.
Learn essential SQL concepts, from database basics to advanced queries, with hands-on practice using MySQL. Ideal for beginners starting their data science journey.
Explore TensorFlow syntax and compare versions in this comprehensive tutorial, covering machine learning fundamentals and practical applications in data science.
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