Data Science – Master Analytics and become Data Scientist | Engineering Online Course by Udemy

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Learn Python, RLang, Neural networks, ANN, Deep learning – Tools, softwares like knime, spark, scipy, Tableau and others

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Data Science – Master Analytics and become Data Scientist

Data Science and Data Analytics course covers wide range of topics from language to tools and softwares.49 videos of around 8 hours duration. SectionTopicDuration (hh: mm: ss)1. Data Science1.1 Data Science introduction00:09:501.2 What is the most powerful language00:09:361.3 Data Science Tools00:15:461.4 Deep Learning00:14:532. Python Language1.1 Python – introduction00:09:551.2 Install python on windows00:04:481.4 Understanding Python language00:10:191.5 Python coding style PEP800:08:312.1 Data types – Strings and numbers00:10:212.2 Comments and docstrings00:03:432.3 Control flow statements00:08:502.4 Data structures – Lists and Tuples00:11:003.1 functions00:11:273.5 Modules and Packages – I00:10:083.6 Modules and Packages – II00:08:054.1 Python Classes00:08:544.2 Classes – inheritance – multiple inheritance00:09:474.3 Classes – Method Resolution Order (MRO) – multiple inheritance00:07:335.1 File read write IO operations00:12:037.1 Standard libraries00:05:143. R Language1.1 R Lang introduction00:09:571.2 Installation of R and R Studio00:14:462.1 R Language Intro, Vectors and Objects00:13:332.2 R Language Objects factors00:04:412.3 R Language Arrays Matrices00:12:572.4 R Language Lists – Data frames00:10:352.5 R Language File IO – reading from and writing to files00:15:202.6 R Language Control flow statements2.7 R Language Functions2.8 R Language Statistics, Probability distributions00:11:332.9 R Language Packages – Create, build, install and package00:13:472.10 R Language Plots2.11 RLang and DataScience – Tidyverse00:06:542.12 Tidyverse – ggplot200:10:453.1 R Language secrets4. KNIME1.1 KNIME Introduction00:04:431.2 KNIME installation and setup00:07:121.3 KNIME Analytics Platform Practice session00:15:435. SciPY1.1 Scipy introduction00:10:242.1 Numpy introduction00:06:152.2 Numpy – practice session00:12:363.1 Pandas-Python Data Analysis Library00:06:313.2 Pandas- practice session00:14:294.1 Matplotlib – introduction00:04:384.2 Matplotlib – practice session00:10:155.1 Interactive Python – IPython introduction00:05:066.1 SymPy00:08:246. Tableau1.1 Tableau – introduction00:11:371.2 Tableau Desktop public – Practice session 100:17:461.3 Tableau Desktop public – Practice session WDC00:06:21Data Science is evolving science and have appetite for analytics and this course will walk you through the required skills.

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