2.55 GB | 00:06:37 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
01 introduction-to-the-specialisation  (29.37 MB)
04 introduction-to-this-course-in-the-specialisation  (20.25 MB)
01 introduction-to-data-science  (12.7 MB)
01 what-is-data  (8.35 MB)
02 types-of-data  (4.84 MB)
01 machine-learning  (14.29 MB)
01 supervised-vs-unsupervised-learning  (12.24 MB)
01 k-means-clustering  (11.65 MB)
02 preparing-your-data  (4.95 MB)
01 a-real-world-dataset  (2.58 MB)
01 what-is-data-science-to-you  (21.14 MB)
01 what-are-the-challenges-you-face-as-a-data-science-student  (30.81 MB)
01 what-is-a-day-in-the-life-of-a-data-science-student  (37.54 MB)
01 what-advice-can-you-give-to-a-fellow-student-who-wants-to-study-data-science  (42.92 MB)
01 end-of-course  (8.07 MB)
01 introduction-to-this-course-in-the-specialisation  (18.56 MB)
04 capstone-project-information Capstone Project Resources  (575.1 KB)
01 what-does-a-data-science-project-look-like  (17.64 MB)
02 phase-1-getting-the-data  (34.07 MB)
03 phase-2-playing-with-the-data  (13.78 MB)
01 the-nature-of-the-project-correlation-in-theory  (47.51 MB)
02 the-nature-of-the-project-correlation-in-practice  (26.19 MB)
01 temperature-and-correlation  (15.62 MB)
02 one-feature-linear-regression  (36.87 MB)
03 multiple-features-linear-regression  (24.07 MB)
01 feature-engineering  (17.01 MB)
01 project-recap  (13.64 MB)
03 end-of-course  (8.64 MB)
01 course-introduction  (5.72 MB)
01 categories-of-data-science-tools  (10.92 MB)
02 open-source-tools-for-data-science-part-1  (10.43 MB)
04 open-source-tools-for-data-science-part-2  (7.09 MB)
05 commercial-tools-for-data-science  (8.78 MB)
06 cloud-based-tools-for-data-science  (11.59 MB)
01 languages-of-data-science  (3.85 MB)
02 introduction-to-python  (6.4 MB)
03 introduction-to-r-language  (6.13 MB)
04 introduction-to-sql  (5.96 MB)
05 other-languages-for-data-science  (8.84 MB)
01 libraries-for-data-science  (7.82 MB)
02 application-programming-interfaces-apis  (13.89 MB)
03 data-sets-powering-data-science  (8.07 MB)
04 sharing-enterprise-data-data-asset-exchange  (11.1 MB)
05 machine-learning-models-learning-from-models-to-make-predictions  (10.1 MB)
06 the-model-asset-exchange  (13.58 MB)
01 introduction-to-jupyter-notebooks  (4.69 MB)
02 getting-started-with-jupyter  (5.78 MB)
03 jupyter-kernels  (2.9 MB)
04 jupyter-architecture  (2.83 MB)
05 additional-anaconda-jupyter-environments  (7.68 MB)
06 additional-cloud-based-jupyter-environments  (5.7 MB)
01 introduction-to-r-and-rstudio  (4.62 MB)
02 plotting-in-rstudio  (4.84 MB)
01 overview-of-git-github  (7.27 MB)
02 introduction-to-github  (7.37 MB)
03 github-repositories  (5.94 MB)
04 github-getting-started  (5.18 MB)
05 github-working-with-branches  (7.84 MB)
02 introduction-to-watson-studio  (9.74 MB)
03 optional-creating-an-account-on-ibm-watson-studio  (5.46 MB)
04 jupyter-notebooks-in-watson-studio-part-1  (7.7 MB)
06 jupyter-notebooks-in-watson-studio-part-2  (3.66 MB)
07 linking-github-to-watson-studio  (4.47 MB)
01 introduction-to-this-course-in-the-specialisation  (12.47 MB)
01 what-is-a-problem-what-is-an-algorithm  (46.95 MB)
02 al-khwarizmi-and-euclid  (27.79 MB)
03 from-mathematics-to-digital-computers  (20.7 MB)
01 introduction-to-flowcharts  (20.6 MB)
02 my-example-of-my-morning-routine-as-a-flowchart  (4.29 MB)
01 conclusion  (13.82 MB)
02 the-birthday-party-problem  (11.28 MB)
01 solution-to-the-birthday-party-problem  (14.09 MB)
01 discretisation-and-pseudocode  (17.19 MB)
02 pseudocode-and-functions  (15.16 MB)
01 introduction-to-loops-in-pseudocode  (27.3 MB)
02 euclidean-algorithm-in-pseudocode  (12.12 MB)
01 conversion-between-flowcharts-and-pseudocode  (21.65 MB)
02 my-example-in-pseudocode  (9.58 MB)
01 the-birthday-party-problem-part-2  (7.92 MB)
02 end-of-course  (18.13 MB)
01 course-introduction  (8.2 MB)
01 introduction-to-python  (6.4 MB)
03 getting-started-with-jupyter  (5.78 MB)
01 types  (3.58 MB)
01 expressions-and-variables  (4.76 MB)
01 string-operations  (9.73 MB)
01 lists-and-tuples  (11.15 MB)
01 dictionaries  (3.52 MB)
01 sets  (10.37 MB)
01 conditions-and-branching  (16.9 MB)
01 loops  (11.81 MB)
01 functions  (25.59 MB)
01 exception-handling  (4.92 MB)
01 objects-and-classes  (14.99 MB)
01 reading-files-with-open  (7.51 MB)
02 writing-files-with-open  (3.93 MB)
01 pandas-loading-data  (11.78 MB)
02 pandas-working-with-and-saving-data  (4.93 MB)
01 one-dimensional-numpy  (13.44 MB)
02 two-dimensional-numpy  (12.03 MB)
01 application-program-interface  (10.51 MB)
01 rest-apis-http-requests-part-1  (5.4 MB)
02 rest-apis-http-requests-part-2  (6.91 MB)
03 optional-html-for-web-scraping  (7.29 MB)
04 optional-web-scraping  (6.93 MB)
05 working-with-different-file-formats  (5.58 MB)
02 html-for-webscraping  (7.12 MB)
03 webscraping  (7.48 MB)
01 introduction-to-this-course-in-the-specialisation  (16.44 MB)
01 introduction-to-mathematical-concepts-of-data-clustering  (17.88 MB)
02 mean-of-one-dimensional-lists  (8.6 MB)
04 variance-and-standard-deviation  (13.81 MB)
01 jupyter-notebooks  (28.58 MB)
01 variables  (15.33 MB)
03 lists  (18.76 MB)
04 computing-the-mean  (13.21 MB)
05 better-lists-numpy  (19.87 MB)
07 computing-the-standard-deviation  (23.79 MB)
01 multidimensional-data-points-and-features  (8.75 MB)
03 multidimensional-mean  (7.55 MB)
05 dispersion-multidimensional-variables  (10.86 MB)
07 distance-metrics  (14.15 MB)
09 normalisation  (6.49 MB)
11 outliers  (10.82 MB)
01 basic-plotting  (9.7 MB)
04 storing-2d-coordinates-in-a-single-data-structure  (29.67 MB)
05 multidimensional-mean  (17.49 MB)
06 adding-graphical-overlays  (17.8 MB)
08 calculating-the-distance-to-the-mean  (16.81 MB)
09 list-comprehension  (14.16 MB)
11 normalisation-in-python  (21.02 MB)
13 outliers-and-plotting-normalised-data  (12.12 MB)
01 using-the-pandas-library-to-read-csv-files  (18.44 MB)
03 sorting-and-filtering-data-using-pandas  (33.61 MB)
01 labelling-points-on-a-graph  (18.06 MB)
03 labelling-all-the-points-on-a-graph  (12.64 MB)
01 eyeballing-the-data  (20.61 MB)
02 using-k-means-to-interpret-the-data  (33.11 MB)
01 can-a-machine-detect-fake-notes  (6.62 MB)
02 working-for-a-client  (15.32 MB)
01 how-to-organize-work-on-your-project  (11.71 MB)
02 dealing-with-difficulties  (10.84 MB)
01 no-data-no-data-science-introduction-of-the-dataset  (14.3 MB)
03 modelling  (13.79 MB)
01 presenting-the-project-results  (10.11 MB)
02 end-of-course  (5.21 MB)
01 course-introduction  (6.85 MB)
02 what-is-data-science  (11.06 MB)
03 fundamentals-of-data-science  (11.5 MB)
04 the-many-paths-to-data-science  (15.59 MB)
05 advice-for-new-data-scientists  (12.94 MB)
06 lesson-summary-defining-data-science  (4.39 MB)
02 a-day-in-the-life-of-a-data-scientist  (17.03 MB)
03 data-science-skills-big-data  (21.19 MB)
04 understanding-different-types-of-file-formats  (9.01 MB)
05 data-science-topics-and-algorithms  (18.15 MB)
06 lesson-summary-what-do-data-scientists-do  (5.97 MB)
02 how-big-data-is-driving-digital-transformation  (7.76 MB)
03 introduction-to-cloud  (11.94 MB)
04 cloud-for-data-science  (11.72 MB)
05 foundations-of-big-data  (14.67 MB)
06 data-science-and-big-data  (18.81 MB)
07 what-is-hadoop  (31.26 MB)
08 big-data-processing-tools-hadoop-hdfs-hive-and-spark  (10.73 MB)
09 lesson-summary-big-data-and-data-mining  (7.61 MB)
02 artificial-intelligence-and-data-science  (9.52 MB)
03 generative-ai-and-data-science  (5.89 MB)
04 neural-networks-and-deep-learning  (31.61 MB)
05 applications-of-machine-learning  (20.71 MB)
06 lesson-summary-deep-learning-and-machine-learning  (4.48 MB)
02 how-should-companies-get-started-in-data-science  (12.3 MB)
03 old-problems-new-data-science-solutions  (11.57 MB)
04 applications-of-data-science  (8.42 MB)
05 how-data-science-is-saving-lives  (11.55 MB)
06 lesson-summary-data-science-applications-domain  (6.57 MB)
02 how-can-someone-become-a-data-scientist  (24.08 MB)
03 recruiting-for-data-science  (40.82 MB)
04 careers-in-data-science  (4.8 MB)
05 importance-of-mathematics-and-statistics-for-data-science  (28.78 MB)
06 lesson-summary-careers-and-recruiting-in-data-science  (6.35 MB)
02 understanding-data  (6.81 MB)
03 data-sources  (13.87 MB)
04 viewpoints-working-with-varied-data-sources-and-types  (56.2 MB)
05 lesson-summary-understanding-data  (6.47 MB)
02 data-collection-and-organization  (6.94 MB)
03 relational-database-management-system  (12.03 MB)
04 nosql  (12.77 MB)
05 data-marts-data-lakes-etl-and-data-pipelines  (10.03 MB)
06 viewpoints-considerations-for-choice-of-data-repository  (41.76 MB)
07 data-integration-platforms  (7.16 MB)
08 lesson-summary-welcome-to-data-literacy  (7.79 MB)]
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