About Course

Learn Fundamental Skills in Bioinformatics for Free!

This comprehensive course, offered by King Abdullah University of Science and Technology, equips you with the essential skills needed to excel in bioinformatics and data analysis. Designed for biology and biomedical students with limited programming or quantitative analysis experience, this course provides a practical and accessible introduction to the field.

Through hands-on learning, you’ll develop key programming skills in R and Python, gain proficiency in using Unix servers, and strengthen your understanding of basic statistical concepts. This course is perfect for those who want to:

Gain a solid foundation in bioinformatics.
Develop essential programming and data analysis skills.
Prepare for a career in research, analysis, or bioinformatics.

This course is completely free and available on platforms like Udemy, Udacity, Coursera, MasterClass, NearPeer, and more. Start your journey into the exciting world of bioinformatics today!

Course Content

Fundamental Skills in Bioinformatics

A Message from the Professor
003 01_brief-introduction-to-the-course.mp4

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009 02_lecture-introduction-to-rstudio.mp4

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010 03_setting-up-r_index.html

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013 04_introduction-to-r-quiz_exam.html

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017 05_coding-lecture-first-contact-with-rstudio.mp4

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020 01_introduction.mp4

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023 02_lecture-data-types-in-r.mp4

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026 03_lecture-data-structures-in-r.mp4

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027 04_data-types-in-r-quiz_exam.html

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031 05_coding-lecture-data-types-in-r-atomic-and-vectors.mp4

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035 06_coding-lecture-data-types-in-r-lists-and-matrices.mp4

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039 07_coding-lecture-data-types-in-r-data-frames.mp4

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042 01_lecture-introduction-to-control-flow.mp4

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045 02_lecture-loops.mp4

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046 03_control-flow-in-r-quiz_exam.html

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050 04_coding-lecture-if-statements.mp4

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054 05_coding-lecture-loop-statements.mp4

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057 01_lecture-loading-and-writing.mp4

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058 02_loading-and-writing-in-r-quiz_exam.html

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063 03_coding-lecture-loading-and-writing.mp4

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068 01_basics-where-to-learn-more.mp4

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074 02_available-data-sets-to-be-used-in-the-course_instructions.html

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080 01_introduction-to-module-2.mp4

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087 02_coding-lecture-logical-vectors-part-1.mp4

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091 03_coding-lecture-logical-vectors-part-2.mp4

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092 04_how-do-r-programming-assignments-work_instructions.html

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093 05_programming-assignment-basics-quiz_quiz.html

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096 01_lecture-data-quality-control.mp4

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100 02_coding-lecture-quality-control.mp4

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103 01_lecture-exploratory-data-analysis.mp4

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107 02_coding-lecture-eda-part-1.mp4

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111 03_coding-lecture-eda-part-2.mp4

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112 04_exploratory-data-analysis-and-visualization-in-r_exam.html

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115 01_lecture-correlation.mp4

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119 02_coding-lecture-correlation-in-r.mp4

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122 01_lecture-linear-models.mp4

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126 02_coding-lecture-example-of-a-linear-model.mp4

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130 03_coding-lecture-evaluation-of-a-linear-model-in-r.mp4

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133 01_lecture-t-test-anova.mp4

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137 02_coding-lecture-t-test.mp4

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141 03_coding-lecture-anova.mp4

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145 01_introduction-to-the-dataset-data-set-4.mp4

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149 02_guided-analysis.mp4

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152 01_lecture-r-packages.mp4

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158 02_lecture-python-and-r.mp4

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161 01_the-python-ecosystem.mp4

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164 02_python-installation-and-environments.mp4

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167 03_jupyter-lab.mp4

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170 01_lecture-python-native-data-structures.mp4

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174 02_coding-lecture-fundamentals-in-data-types.mp4

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178 03_coding-lecture-lists-and-tuples.mp4

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182 04_coding-lecture-sets-and-dictionaries.mp4

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183 05_python-primitive-values-and-data-structures_exam.html

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186 01_lecture-flow-control-and-functions.mp4

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190 02_coding-lecture-if-conditions-for-and-while-loops.mp4

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194 03_coding-lecture-declare-and-using-functions-in-python.mp4

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195 04_python-syntax-for-if-statements-and-functions_exam.html

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198 01_lecture-overview-of-modules-in-python.mp4

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201 02_lecture-numpy.mp4

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205 03_coding-lecture-numpy.mp4

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206 04_the-numpy-package_exam.html

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209 05_lecture-pandas.mp4

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213 06_coding-lecture-pandas.mp4

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217 07_coding-lecture-pandas-for-data-exploration.mp4

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218 08_the-pandas-package_exam.html

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222 09_coding-lecture-visualization.mp4

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227 01_overview-of-the-week.mp4

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230 02_lecture-introduction-to-the-case-study.mp4

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233 01_lecture-rna-seq-technology-and-data-normalisation.mp4

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238 02_relevant-material-for-week-4_instructions.html

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250 03_coding-lecture-loading-and-normalizing-rna-seq-data.mp4

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253 04_lecture-principal-component-analysis.mp4

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256 05_coding-lecture-pca-analysis-in-r-for-rna-seq-data.mp4

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259 06_lecture-finding-differentially-expressed-genes.mp4

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263 07_coding-lecture-differential-expression-analysis-in-r.mp4

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266 01_lecture-from-rna-seq-to-scrna-seq.mp4

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269 02_lecture-representing-scrna-seq-experiments-in-python.mp4

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276 03_coding-lecture-loading-a-scrna-seq-experiment-in-python.mp4

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277 04_lecture-representing-scrna-seq-experiments-in-python_exam.html

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280 05_lecture-preprocessing-scrna-seq-data.mp4

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286 06_coding-lecture-scrna-seq-preprocessing.mp4

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287 07_scrna-seq-preprocessing_exam.html

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290 08_lecture-umap-and-dimensionality-reduction-in-single-cell-studies.mp4

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293 09_lecture-cell-type-identification.mp4

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298 10_coding-lecture-clustering-and-cell-type-identification-with-python.mp4

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299 11_clustering-and-cell-type-indentification-with-python_exam.html

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300 12_reference-resources-for-single-cell-analysis-in-python_instructions.html

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305 13_coding-lecture-scrna-seq-analysis-in-r.mp4

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308 01_lecture-bioai.mp4

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links.txt

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About Course

Learn Fundamental Skills in Bioinformatics for Free!

What Will You Learn?

Course Content

Fundamental Skills in Bioinformatics

A Message from the Professor

003 01_brief-introduction-to-the-course.mp4

009 02_lecture-introduction-to-rstudio.mp4

010 03_setting-up-r_index.html

013 04_introduction-to-r-quiz_exam.html

017 05_coding-lecture-first-contact-with-rstudio.mp4

020 01_introduction.mp4

023 02_lecture-data-types-in-r.mp4

026 03_lecture-data-structures-in-r.mp4

027 04_data-types-in-r-quiz_exam.html

031 05_coding-lecture-data-types-in-r-atomic-and-vectors.mp4

035 06_coding-lecture-data-types-in-r-lists-and-matrices.mp4

039 07_coding-lecture-data-types-in-r-data-frames.mp4

042 01_lecture-introduction-to-control-flow.mp4

045 02_lecture-loops.mp4

046 03_control-flow-in-r-quiz_exam.html

050 04_coding-lecture-if-statements.mp4

054 05_coding-lecture-loop-statements.mp4

057 01_lecture-loading-and-writing.mp4

058 02_loading-and-writing-in-r-quiz_exam.html

063 03_coding-lecture-loading-and-writing.mp4

068 01_basics-where-to-learn-more.mp4

074 02_available-data-sets-to-be-used-in-the-course_instructions.html

080 01_introduction-to-module-2.mp4

087 02_coding-lecture-logical-vectors-part-1.mp4

091 03_coding-lecture-logical-vectors-part-2.mp4

092 04_how-do-r-programming-assignments-work_instructions.html

093 05_programming-assignment-basics-quiz_quiz.html

096 01_lecture-data-quality-control.mp4

100 02_coding-lecture-quality-control.mp4

103 01_lecture-exploratory-data-analysis.mp4

107 02_coding-lecture-eda-part-1.mp4

111 03_coding-lecture-eda-part-2.mp4

112 04_exploratory-data-analysis-and-visualization-in-r_exam.html

115 01_lecture-correlation.mp4

119 02_coding-lecture-correlation-in-r.mp4

122 01_lecture-linear-models.mp4

126 02_coding-lecture-example-of-a-linear-model.mp4

130 03_coding-lecture-evaluation-of-a-linear-model-in-r.mp4

133 01_lecture-t-test-anova.mp4

137 02_coding-lecture-t-test.mp4

141 03_coding-lecture-anova.mp4

145 01_introduction-to-the-dataset-data-set-4.mp4

149 02_guided-analysis.mp4

152 01_lecture-r-packages.mp4

158 02_lecture-python-and-r.mp4

161 01_the-python-ecosystem.mp4

164 02_python-installation-and-environments.mp4

167 03_jupyter-lab.mp4

170 01_lecture-python-native-data-structures.mp4

174 02_coding-lecture-fundamentals-in-data-types.mp4

178 03_coding-lecture-lists-and-tuples.mp4

182 04_coding-lecture-sets-and-dictionaries.mp4

183 05_python-primitive-values-and-data-structures_exam.html

186 01_lecture-flow-control-and-functions.mp4

190 02_coding-lecture-if-conditions-for-and-while-loops.mp4

194 03_coding-lecture-declare-and-using-functions-in-python.mp4

195 04_python-syntax-for-if-statements-and-functions_exam.html

198 01_lecture-overview-of-modules-in-python.mp4

201 02_lecture-numpy.mp4

205 03_coding-lecture-numpy.mp4

206 04_the-numpy-package_exam.html

209 05_lecture-pandas.mp4

213 06_coding-lecture-pandas.mp4

217 07_coding-lecture-pandas-for-data-exploration.mp4

218 08_the-pandas-package_exam.html

222 09_coding-lecture-visualization.mp4

227 01_overview-of-the-week.mp4

230 02_lecture-introduction-to-the-case-study.mp4

233 01_lecture-rna-seq-technology-and-data-normalisation.mp4

238 02_relevant-material-for-week-4_instructions.html

250 03_coding-lecture-loading-and-normalizing-rna-seq-data.mp4

253 04_lecture-principal-component-analysis.mp4

256 05_coding-lecture-pca-analysis-in-r-for-rna-seq-data.mp4

259 06_lecture-finding-differentially-expressed-genes.mp4