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Beginners python data analytics: Data science introduction: Learn data science: Python data analysis methods tutorial
An excellent training about Data Science
Complete Data Science Training with Python for Data Analysis
Complete Guide to Practical Data Science with Python: Learn Statistics, Visualization, Machine Learning & MoreTHIS IS A COMPLETE DATA SCIENCE TRAINING WITH PYTHON FOR DATA ANALYSIS: It’s A Full 12-Hour Python Data Science BootCamp To Help You Learn Statistical Modelling, Data Visualization, Machine Learning & Basic Deep LearningIn Python! HERE IS WHY YOU SHOULD TAKE THIS COURSE: First of all, this course a complete guide to practical data science using Python. That means, this course covers ALL the aspects of practical data science and if you take this course alone, you can do away with taking other courses or buying books on Python-based data science. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level! THISISMYPROMISETOYOU: COMPLETETHISONECOURSE & BECOMEAPROINPRACTICALPYTHONBASEDDATASCIENCE! But, first things first, My name isMINERVA SINGHand Iam an Oxford University MPhil (Geography and Environment), graduate. I recently finished aPhD at Cambridge University (Tropical Ecology and Conservation). I have several yearsofexperience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals. Over the course of my research, I realized almost all the Python data science courses and books out theredo not account for the multidimensional nature of the topic and use data science interchangeably with machine learning. This gives the student an incomplete knowledge of the subject. This course will give you a robust grounding in all aspects of data science, from statistical modelling to visualization to machine learning. Unlike other Python instructors, I dig deep into the statistical modelling features of Python and gives you a one-of-a-kind grounding in Python Data Science! You will go all the way from carrying out simple visualizations and data explorations to statistical analysis to machine learning to finally implementing simple deep learning-based models using PythonDISCOVER 12 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON DATA SCIENCE (INCLUDING): A full introduction to Python Data Science andpowerful Python driven framework for data science, Anaconda Getting started with Jupyter notebooks for implementing data science techniquesin Python A comprehensive presentation about basic analytical tools-Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors, Broadcasting, etc. Data Structures and Reading in Pandas, including CSV, Excel, JSON, HTML data How to Pre-Process and Wrangle your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc. Creating data visualizations like histograms, boxplots, scatterplots, bar plots, pie/line charts, and more! Statistical analysis, statistical inference, and the relationships between variables Machine Learning, Supervised Learning, Unsupervised Learning in Python Youll even discover how to create artificial neural networks and deep learning structures.& MUCH MORE! With this course, youll have the keys to the entire Python Data Science kingdom! NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED: Youll start by absorbing the most valuable Python Data Science basics and techniques. I useeasy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python. My course willhelp you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real life. After taking this course, youll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python. Youll even understand deep concepts like statistical modelling in Pythons Statsmodels package and the difference between statistics and machine learning (including hands-on techniques). I will even introduce you to deep learning and neural networks using the powerful H2o framework! With this Powerful All-In-One Python Data Science course, youll know it all: visualization, stats, machine learning, data mining, and deep learning! The underlying motivation for the course is to ensure you can apply Python-based data science on real data and put into practice today. Start analyzing data for your own projects, whatever your skill level andIMPRESSyour potential employers with actual examples of your data science abilities. HERE IS WHAT THIS COURSE WILL DO FOR YOU: This course is your one shot way of acquiring the knowledge of statistical data analysis skills that I acquired from the rigorous training received at two of the best universities in the world, a perusal of numerous books and publishing statistically rich papers in renowned international journal likePLOS One. This course will: (a) Take students without a prior Python and/or statistics backgroundfrom
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