How to Learn Python For Data Science - COURSES VISION

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How to Learn Python For Data Science

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Learners who are interested to start their career in data science using python or looking to upskills their career into data science domain and looking for free courses to start their learning journey towards data science, look at these free data science courses.

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This course is offered by the university of California, San Diego. learner with the pre knowledge of data science or undergraduate in multivariate calculus and linear algebra can go for this course. this course is available on edx platform. access this course at free but for certification you will have to pay. this course takes 10 weeks to complete and you will have to put 10 to 12 hrs. of effort per week for it. this course is available in two sessions which starts in Jul & Aug. this is advanced level course and self paced with the assignments without any deadlines. learn the foundations of probability and statistics, Mathematical theory, random variables, correlation, regression, entropy, PCA, dependence and MDL. Get a hands on experience to actual data using Jupiter notebooks.

Prerequisites:

  • Knowledge of Multivariate calculus & Linear algebra
  • Python for Data Science

Subject : Data Analysis and Statistics
Time Duration : 10-12 hours/week
Start Date : Jul 14 & Aug 18
End Date : Aug 3 & Dec 1
Length : 10 weeks
Level :  Advanced
Language : English
Video Transcript : English
Course Type : Self-Paced
Institution : UCSanDiegoX
Price : FREE

Course Outcomes:

  • Machine Learning Mathematical Foundation
  • Statistics Literacy

look at this another data science course from massachusetts institute of technology. learner with prior python programming experience & familiar with computational complexity can join this course. there is one session availble to take this course throught a year. this is instructor based course. you have a free access to course content and there is cost to get certification. this is intermediate course and takes 9 weeks to complete it with the effort of 14 to 16 hours per week. this course will teach you how to solve computational problem. learn how to write a program & implement the concept taught in the course. learn about how to write a program for simulate a robot vacuum cleaning a room and viruses replicating and drug treatments in a patients body. learn the concepts of python 3 advanced programming, Graph optimization, knapsack problem, dynamic programming, plotting, probability, distributions, curve fitting and random walks etc.

Prerequisites:

  • Prior programming experience in Python
  • Knowledge of computational complexity
  • Introduction to computer science and programming using python

Subject : Computer Science
Time Duration :14-16 hours/week
Start Date : Oct 13
End Date : Dec 15
Length : 9 weeks
Level : Intermediate
Language : English
Video Transcript : English
Course Type : Instructor led
Institution : MITx
Price : FREE

Course Outcomes:

  • Statistical thinking
  • Stochastic programming & plotting
  • Monte carlo simulation

Start your learning with the university of Edinburgh by enrolling into introducing to predictive analytics with python. learn the concept of data discovery process, predicted variables, key data transformation and issues while preparation. this course covers the topic of model lifecycle building, implement simple linear and logistic regression models. python and predictive modelling, preparation of data, regression, data quality problems, transformation and case study. this course is available on edx platform. learner can access free content of course. if you are looking for a certification then will have to pay for it. there is one session available for this course. it is 6 weeks course and you will have to spend 8 to 10 hours per week to complete this course. this is advanced level and self paced course. learner with the background in mathematics, statistics and experience in procedural programming language can go with the course.

Prerequisites:

  • Prior programming experience in Python,Java
  • Background from mathematics and statistics.

Subject : Data Analysis and Statistics
Time Duration : 8-10 hours/week
Start Date : Jul 14
End Date : Dec 7
Length: 6 weeks
Level : Advanced
Language : English
Video Transcript : English
Course Type : Self – paced
Institution : EdinburghX
Price : FREE

Course Outcomes:

  • Concept of predictive analytics process
  • How to prepare data for Predictive Modelling
  • How to clean datasets to prevent data quality issues
  • How to implement linear and logistic regression models

This course is provided by the southern new Hampshire university on the platform of edx. this course is a part of micro bachelors program. earn how to analyze data using statistical methods and the technology. there is only one session available for this course which begins in July 14 and ends in Dec. this is intermediate level course and the learners with knowledge of python scripting and applied statistics can go ahead with the course. this is self paced course which you can complete at your own space. you can complete this course in 16 weeks with the effort of 8 to 10 hours per week. learn the statistics foundation, analysis of large data sets, model the real world applications, statistical frameworks. also a learn the data analysis tools, visualization, data science, pandas, matplotlib and python libraries. this course also covers the topic of inferential statistics to quantify and answer the real world data analysis questions. learn the concept of descriptive statistics, probability, hypothesis tests and linear regression analysis.

Prerequisites:

  • prior experience in scripting with python
  • Applied statistics with python

Subject : Data Analysis and Statistics
Time Duration : 8-10 hours/week
Start Date : Jul 14
End Date : Dec 19
Length : 16 weeks
Level : Intermediate
Language : English
Video Transcript : English
Course Type : Self – paced
Institution : SNHUx
Price : FREE

Course Outcomes:

  • How to collect and classify data
  • Correlation between variables using linear regression techniques
  • How to summarize data using visual and numeric techniques
  • Use of hypothesis test and confidence techniques.

This is the another course provided by the university of California, San Diego. learn how to use powerful, open source python tools, pandas, matplotlib and Git. learn the concepts how to analyze and visualize complex real datasets. this course is available on edx platform with the two session slots. you can choose between your sessions which is available on Jul and Aug. this is self paced course with no due dates. learn the concepts through videos. this is advanced level course, you need 8-10 hrs. per week to complete this course. you can complete this course in 10 weeks. course contends are free to access but for certification you will have to invest. learn how to solve compelling data science problems. learn how to import, explore, analyze and visualize the large data and how to generate and share the reports.

Prerequisites :

  • prior experience of any programming language
  • Introduction to computer science course

Subject : Data Analysis and Statistics
Time Duration : 8-10 hours/week
Start Date : Jul 14 & Aug 18
End Date : Aug 3 & Dec 1
Length : 10 weeks
Level : Advanced
Language : English
Video Transcript : English
Course Type : Self – paced
Institution : UCSanDiegoX
Price : FREE

Course Outcomes :

  • Python and Jupyter Notebooks
  • Statistical analysis and machine learning methods
  • Visualizing result methods
  • Understanding of data science
  • Manipulation & analyzing uncurated datasets.

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