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7 free learning resources to land top data science jobs

March 22, 2023
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Knowledge science is an thrilling and quickly rising area that entails extracting insights and information from information. To land a prime information science job, you will need to have a strong basis in key information science expertise, together with programming, statistics, information manipulation and machine studying.

Luckily, there are various free on-line studying sources obtainable that may show you how to develop these expertise and put together for a profession in information science. These sources embody on-line studying platforms akin to Coursera, edX and DataCamp, which supply a variety of programs in information science and associated fields.

Coursera

Knowledge science and associated topics are lined in a wide range of programs on the web studying platform Coursera. These programs incessantly contain topics akin to machine studying, information evaluation and statistics and are instructed by lecturers from prestigious universities.

Listed below are some examples of knowledge science programs on Coursera:

  • Utilized Knowledge Science with Python Specialization: This specialization, provided by the College of Michigan, consists of 5 programs that cowl the fundamentals of knowledge manipulation, evaluation and visualization utilizing Python.
  • Machine Studying by Andrew Ng: This course, provided by Stanford College, offers an introduction to machine studying, together with subjects akin to linear regression, logistic regression, neural networks and clustering.
  • Knowledge Science Methodology: This course, provided by IBM, covers the fundamentals of knowledge science, together with information preparation, information cleansing and information exploration.
  • Statistics with R Specialization: This specialization, provided by Duke College, consists of 4 programs that cowl statistical inference, regression modeling and machine studying utilizing the R programming language.

One can apply for monetary support to earn these certifications without cost. Nonetheless, doing a course only for certification might not land a dream job in information science.

Kaggle

Kaggle is a platform for information science competitions that gives a wealth of sources for studying and working towards information science expertise. One can refine their expertise in information evaluation, machine studying and different branches of knowledge science by taking part within the platform’s challenges and host of datasets.

Listed below are some examples of free programs obtainable on Kaggle:

  • Python: This course covers the fundamentals of Python programming, together with information sorts, management constructions, capabilities and modules.
  • Pandas: This course covers the fundamentals of knowledge manipulation utilizing Pandas, together with information cleansing, information merging and information reshaping.
  • Knowledge Visualization: This course covers the fundamentals of knowledge visualization utilizing Matplotlib and Seaborn, together with scatter plots, line plots and bar plots.
  • Intro to Machine Studying: This course covers the fundamentals of machine studying, together with classification, regression and clustering.
  • Intermediate Machine Studying: This course covers extra superior subjects in machine studying, together with characteristic engineering, mannequin choice and hyperparameter tuning.
  • SQL: This course covers the fundamentals of SQL, together with information querying, information filtering and information aggregation.
  • Deep Studying: This course covers the fundamentals of deep studying, together with neural networks, convolutional neural networks and recurrent neural networks.

Associated: 9 information science mission concepts for learners

edX

EdX is one other on-line studying platform that provides programs in information science and associated fields. Most of the programs on edX are taught by professors from prime universities, and the platform provides each free and paid choices for studying.

A few of the free programs on information science obtainable on edX embody:

  • Knowledge Science Necessities: This course, provided by Microsoft, covers the fundamentals of knowledge science, together with information exploration, information preparation and information visualization. It additionally covers key subjects in machine studying, akin to regression, classification and clustering.
  • Introduction to Python for Knowledge Science: This course, provided by Microsoft, covers the fundamentals of Python programming, together with information sorts, management constructions, capabilities and modules. It additionally covers key information science libraries in Python, akin to Pandas, NumPy and Matplotlib.
  • Introduction to R for Knowledge Science: This course, provided by Microsoft, covers the fundamentals of R programming, together with information sorts, management constructions, capabilities and packages. It additionally covers key information science libraries in R, akin to dplyr, ggplot2 and tidyr.

All of those programs are free to audit, that means which you could entry all of the course supplies and lectures with out paying a price. However, there shall be a price when you want to entry additional course options or obtain a certificates of completion. A complete collection of paid programs and packages in information science, machine studying and associated subjects are additionally obtainable on edX along with these programs.

DataCamp

DataCamp is a web-based studying platform that provides programs in information science, machine studying and different associated fields. The platform provides interactive coding challenges and tasks that may show you how to construct real-world expertise in information science.

The next programs can be found without cost on DataCamp:

  • Introduction to Python: This course covers the fundamentals of Python programming, together with information sorts, management constructions, capabilities and modules.
  • Introduction to R: This course covers the fundamentals of R programming, together with information sorts, management constructions, capabilities and packages.
  • Introduction to SQL: This course covers the fundamentals of SQL, together with information querying, information filtering and information aggregation.
  • Knowledge Manipulation with Pandas: This course covers the fundamentals of knowledge manipulation utilizing Pandas, together with information cleansing, information merging and information reshaping.
  • Importing Knowledge in Python: This course covers the fundamentals of importing information into Python, together with studying information, connecting to databases and dealing with internet APIs.

All of those programs are free and could be accessed via DataCamp’s on-line studying platform. Along with these programs, DataCamp additionally provides a variety of paid programs and tasks that cowl subjects akin to information visualization, machine studying and information engineering.

Udacity

Udacity is a web-based studying platform that provides programs in information science, machine studying and different associated fields. The platform provides each free and paid programs, and lots of the programs are taught by business professionals.

Listed below are some examples of free programs on information science obtainable on Udacity:

  • Introduction to Python Programming: This course covers the fundamentals of Python programming, together with information sorts, management constructions, capabilities and modules. It additionally covers key information science libraries in Python, akin to NumPy and Pandas.
  • SQL for Knowledge Evaluation: This course covers the fundamentals of SQL, together with information querying, information filtering and information aggregation. It additionally covers extra superior subjects in SQL, akin to joins and subqueries.
  • Intro to Knowledge Science: This course covers the fundamentals of knowledge science, together with information wrangling, exploratory information evaluation and statistical inference. It additionally covers key machine-learning methods, akin to regression, classification and clustering.

Associated: 5 high-paying careers in information science

MIT OpenCourseWare

MIT OpenCourseWare is a web-based repository in fact supplies from programs taught on the Massachusetts Institute of Expertise. The platform provides a wide range of programs in information science and associated fields, and the entire supplies can be found without cost.

Listed below are a few of the free programs on information science obtainable on MIT OpenCourseWare:

  1. Introduction to Laptop Science and Programming in Python: This course covers the fundamentals of Python programming, together with information sorts, management constructions, capabilities and modules. It additionally covers key information science libraries in Python, akin to NumPy, Pandas and Matplotlib.
  2. Introduction to Chance and Statistics: This course covers the fundamentals of likelihood concept and statistical inference, together with likelihood distributions, speculation testing and confidence intervals.
  3. Machine Studying with Giant Datasets: This course covers the fundamentals of machine studying, together with linear regression, logistic regression and k-means clustering. It additionally covers methods for working with giant information units, akin to map-reduce and Hadoop.

GitHub

GitHub is a platform for sharing and collaborating on code, and it may be a invaluable useful resource for studying information science expertise. Nonetheless, GitHub itself doesn’t supply free programs. As an alternative, one can discover the various open-source information science tasks which are hosted on GitHub to search out out extra about how information science is utilized in sensible conditions.

Scikit-learn is a well-liked Python library for machine studying, which offers a variety of algorithms for duties akin to classification, regression and clustering, together with instruments for information preprocessing, mannequin choice and analysis. The mission is open-source and obtainable on GitHub.

Jupyter is an open-source internet utility for creating and sharing interactive notebooks. Jupyter notebooks present a method to mix code, textual content and multimedia content material in a single doc, making it simple to discover and talk information science outcomes. 

These are only a few examples of the various open-source information science tasks obtainable on GitHub. By exploring these tasks and contributing to them, one can achieve invaluable expertise with information science instruments and methods, whereas additionally constructing their portfolio and demonstrating their expertise to potential employers.