4 Best iPhone App For Learning Statistics

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If you are looking for the Best iPhone App For Learning Statistics to download for free, look no further.

Our expert panel of reviewers has tested dozens of apps and we have compiled a list of the 4 Best iPhone App For Learning Statistics that passed our tests.

Check out our list of the 4 Best iPhone App For Learning Statistics, tried and tested by our expert reviewers.

4 Best iPhone App For Learning Statistics

1. Analytics Vidhya

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“Analytics Vidhya is India’s largest and the world’s 2nd largest data science community.
We aim to help you learn concepts of data science, machine learning, deep learning, big data & artificial intelligence (AI) in the most interactive manner from the basics right up to very advanced levels.

Analytics Vidhya app provides high quality learning resources for data science professionals, data engineers and students who want to study data science and machine learning algorithms, along with codes.

Some of the popular posts on the app

• A Comprehensive Learning Path for Deep Learning in 2019

• The Ultimate Learning Path to Become a Data Scientist and Master Machine Learning in 2019

• A Complete Tutorial to Learn Data Science with Python from Scratch

• Essentials of Machine Learning Algorithms (with Python and R Codes)

• An Introduction to Implementing Neural Networks using TensorFlow

• A Complete Guide on Getting Started with Deep Learning in Python

• Tips and Tricks to Ace Data Science Interviews

• 7 Types of Regression Techniques you should know!

• A Complete Tutorial on Ridge and Lasso Regression in Python

• Deep Learning Tutorial to Calculate the Screen Time of Actors in any Video (with Python codes)

• Comprehensive Introduction to Apache Spark, RDDs & Dataframes (using PySpark)

• A Simple Introduction to Facial Recognition (with Python codes)

• 30 Questions to test your understanding of Logistic Regression

• A Complete Tutorial on Tree Based Modeling from Scratch in R & Python

• The most comprehensive Data Science learning plan

• 6 Easy Steps to Learn Naive Bayes Algorithm (with codes in Python and R)

• Top 28 Cheat Sheets for Machine Learning, Data Science, Probability, SQL & Big Data

• Solving Multi-Label Classification problems (Case studies included)

• Understanding Support Vector Machine algorithm from examples (along with code)

• Architecture of Convolutional Neural Networks (CNNs) demystified

• Complete Guide to Parameter Tuning in XGBoost (with codes in Python)

• Practicing Machine Learning Techniques in R with MLR Package

• Heroes of Deep Learning: Top Takeaways for Aspiring Data Scientists from Andrew Ng’s Interview Series

Machine Learning and Deep Learning Algorithms:
• Linear and Logistic Regressions
• NaiveBayes
• Neural Networks
• Decision Trees
• Convolutional Neural Networks
• Long Short Term Memory – Recurrent Neural Networks
• SVM (Support Vector Machines)
• Restricted Boltzmann Machines
• Restricted Boltzmann Machines

Learn libraries and tools:
• Pandas
• Matplotlib
• Scikit-learn
• TensorFlow
• Caffe
• PyTorch
• XGBoost
• eras
• PySpark

Top categories & topics
Data Science
Big data
Business analytics
Deep learning
Machine learning
NLP (Natural Language Processing)
Reinforcement Learning
Neural Network (Traditional and Convolutional)
Supervised Learning
Unsupervised Learning
Modeling in Python and R
Time Series Analysis
Data Engineering

We have more than 200,000 registered users to our blog and newsletter and more than 2.4 million monthly visits on our portal. People engage on Analytics Vidhya to learn from thought leaders and industry experts, participate in hiring, branding & problem solving/crowd sourcing hackathons on our Global DataHack Platform ( https://datahack.analyticsvidhya.com/contest/all/) in areas such as Artificial Intelligence, Machine Learning , Data Engineering, Data Mining and Advanced Analytics, and also engage in discussions to share ideas and solve data related business problems for organisations. Over the past 2 years we have engaged in more than 60 hackathons with some of the leading global companies in the world & in India. We also have a dedicated platform for courses (https://trainings.analyticsvidhya.com/) created by the best in data science where you can enroll in courses and sharpen your skillset.

Privacy: https://www.analyticsvidhya.com/privacy-policy/
Terms: https://www.analyticsvidhya.com/terms/”

2. DataCamp: Learn Data Science

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“DataCamp for Mobile is the easiest way to learn data science at your own pace with the highest-quality FREE learning content—in just five minutes a day!

Used by millions of learners, DataCamp for Mobile is designed for all skill levels and offers the most in-depth content available in the app store to learn Python, R, and SQL. You’ll receive a statement of accomplishment for each course that you complete that you can share with your network.

* New to data science? Gain the fundamental skills you need to speak the language of data with our FREE introductory courses on data science, machine learning, data visualization, data engineering, and cloud computing.

* Start with Python and begin your data science journey with an in-demand and all-purpose technology. Learn Python with FREE lessons and coding exercises that will unlock as you keep expanding your skills. This learning path is great for both Python beginners and those who want to level up their Python programming skills.

* Build up your data analyst skills with our SQL curriculum. In just 5 minutes a day, you’ll become an expert in relational databases and SQL joins, and will learn how to answer a wide variety of data science questions and prepare robust data sets for data analysis in PostgreSQL.

* Master the basics of data science with R to get started on the path of exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

DataCamp for Mobile is also the best way to keep your skills sharp when you’re learning on your own. Our personalized instant feedback system lets you learn from your mistakes and reinforce new skills.

LOTS OF WAYS TO PRACTICE. Hundreds of different questions and coding challenges to get your skills job-ready.

PERSONALIZED. Our personalized instant feedback system lets you learn from your mistakes and reinforce new skills.

BETTER KNOWLEDGE RETENTION. Everything you learn is saved in your personal library along with flashcards to make it easy to keep your knowledge fresh.

CONVENIENCE design to help you build a habit

What our learners say:

• “I found DataCamp over a year ago while searching for an app to help me practice learning data science. I’ve really enjoyed how easy the platform is all while engaging the user to think and solve programming exercises.”
• “DataCamp is the best tutor app I have used recently. It is intuitive, concise, contains all the necessary information required for both beginners and experts alike.”
• “Being able to practice on my phone has helped to reinforce concepts and give context to examples that I might not otherwise retain with one read-through of the course. I love Data Camp!”

The DataCamp desktop version is a great way to get introduced to the world of big data with a wide selection of courses on the most in-demand technologies, including Tableau, Power BI, spreadsheets, statistics, Shell, and Git.

Our Privacy Policy and Terms of Service are available at https://www.datacamp.com/terms-of-use/.

If you have any questions, don’t hesitate to get in touch with us at support@datacamp.com”

3. Learn Statistics & Probability

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“Learn “Statistics and Probability by GoLearningBus” from AI driven coach and satisfy your thirst for knowledge.

App offers bite sized videos, quizzes and AI driven coach to help you become smarter and become great.

Just 60 minutes a week can help you become great in “Statistics and Probability by GoLearningBus”

Following chapters are available for rapid fast learning.

Public Relations
Introduction to PMP
Learn Patent, Trademark, and Copyright
Principles of Management
Business Math
Management Information System
Human Resource Management
Project Management
Communication Skills

Please email us at Team@iEdu.io for any questions or feedback.”

4. Probability-Distributions

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“Compute probabilities, determine percentiles, and plot the probability density function for the normal (Gaussian), t, chi-square, F, exponential, gamma, beta, log-normal, Pareto, and Weibull distributions.

Compute probabilities, approximate percentiles, and plot the probability mass function for the binomial, geometric, hypergeometric, Poisson, and negative binomial distributions.”