110 lines
6.6 KiB
JSON
110 lines
6.6 KiB
JSON
{
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"introduction": "3xp2fogAVmwXQhdzhZDWR",
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"introduction:types-data-analytics": "Lsapbmg-eMIYJAHpV97nO",
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"introduction:types-data-analytics:descriptive": "hWDh0ooidbqZb000ENVok",
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"introduction:types-data-analytics:diagnostic": "j7DA2J3speSaBsZAV4M0v",
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"introduction:types-data-analytics:predictive": "3WZORRCwme3HsaKew23Z5",
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"introduction:types-data-analytics:prescriptive": "DFMR-0MbmVCCrJu0I9JWG",
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"introduction:data-analytics": "yCnn-NfSxIybUQ2iTuUGq",
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"introduction:keyconcepts-for-data": "R12sArWVpbIs_PHxBqVaR",
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"introduction:keyconcepts-for-data:collection": "mDUSpexdq3ITV6qokwSJl",
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"introduction:keyconcepts-for-data:cleanup": "nC7tViln4UyQFYP_-fyjB",
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"introduction:keyconcepts-for-data:exploration": "XFnw4_dQYSzm96-srWa7X",
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"introduction:keyconcepts-for-data:visualization": "jowh4CFLQiFzKaaElyCuQ",
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"introduction:keyconcepts-for-data:statistical-analysis": "2pUq-7hu5EjGpowz98YoV",
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"introduction:keyconcepts-for-data:machine-learning": "U55hwR0HRCIz2cveVR8FZ",
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"excel": "sgXIjVTbwdwdYoaxN3XBM",
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"excel:basic-functions:if": "wME4MSldOWlMB54ekpReS",
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"excel:basic-functions:datedif": "yBlJrNo9eO470dLp6OaQZ",
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"excel:basic-functions:vlookup-hlookup": "9sIP-jpNjtA1JPCBjTf-H",
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"excel:basic-functions:replace-substitute": "dke_pySrqYZZ7K3rprnIT",
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"excel:basic-functions:upper-lower-proper": "YReKRRgE_2dWfGGdBQqbf",
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"excel:basic-functions:concat": "SIiIfcy-jeiRoDlxw385V",
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"excel:basic-functions:trim": "D5Q6o6ydr1j51kB0ASFPE",
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"excel:basic-functions:average": "FDYunL9KJkR_tHEcUV2iC",
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"excel:basic-functions:count": "uAdxP1ZkgzcU8JcWjvw6d",
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"excel:basic-functions:sum": "_FO80Cm2iAD_bThmnsEgp",
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"excel:basic-functions:min-max": "F3-cr5onkWqKKPRdxu8lV",
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"excel:charting": "Vk3JErqxpnPY44iyfkLMl",
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"excel:pivot-tables": "2DDJUFr0AJTVR2Whj8zub",
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"sql": "i4VCwFm-wc9cqE73i-BIb",
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"programming-language": "i2uEcaO4bJhcZ5ayRs2CQ",
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"data-manipulation-libraries": "M1QtGTLyygIjePoCfvjve",
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"data-visualization-libraries": "l1SnPc4EMqGdaIAhIQfrT",
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"data-visualization-libraries:matplotlib": "uGkXxdMXUMY-3fQFS1jK8",
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"data-visualization-libraries:ggplot2": "E0hIgQEeZlEidr4HtUFrL",
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"data-manipulation-libraries:pandas": "8OXmF2Gn6TYJotBRvDjqA",
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"data-manipulation-libraries:dplyr": "y__UHXe2DD-IB7bvMF1-X",
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"programming-language:python": "4mVhtJA14q6buWhHzRzz7",
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"programming-language:r": "g_EBQizZsIe-vn8ir6FTv",
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"data-collection": "_sjXCLHHTbZromJYn6fnu",
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"data-collection:databases": "tYPeLCxbqvMFlTkCGjdHg",
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"data-collection:csv-files": "iWOK0mRY-hAGxMnHYJ0tt",
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"data-collection:apis": "4DFcXSSHxg5wv0uXLIRij",
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"data-collection:web-scraping": "qQ64ZhSlbbWu9pP8KTE67",
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"data-cleaning": "E6cpb6kvluJM8OGuDcFBT",
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"data-cleaning:missing-data": "X9WmfHOks82BIAzs6abqO",
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"data-cleaning:removing-duplicates": "Xltm7B-8TZ1-igLjVJXoR",
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"data-cleaning:finding-outliers": "-rQ8h_6NFxEOhxXgo7LHo",
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"data-cleaning:data-transformation": "t_BRtEharsrOZxoyX0OzV",
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"data-cleaning:pandas": "TucngXKNptbeo3PtdJHX8",
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"data-cleaning:dplyr": "v8TfY-b4W5ygOv7r-syHq",
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"descriptive-analysis": "il6KQXVPGBza5libN38ib",
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"descriptive-analysis:central-tendency": "BJTVa4ur_bJB7mMtD2-hQ",
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"descriptive-analysis:dispersion": "2ldO-_ZnIg364Eo8Jyfgr",
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"descriptive-analysis:distribution-shape": "Fyqg3MRcwY7g-Q3gjiqwK",
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"descriptive-analysis:central-tendency:mean": "923KGEUG9ofBm7dYkkrxz",
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"descriptive-analysis:central-tendency:median": "qdXoikVh2xkJkOQNKcyvb",
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"descriptive-analysis:central-tendency:mode": "fY8zVG2tVbmtx5OhY7hj-",
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"descriptive-analysis:central-tendency:average": "yn1sstYMO9du3rpfQqNs9",
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"descriptive-analysis:distribution-shape:skewness": "VfcCRRqwLxkYpIX0ZKNNX",
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"descriptive-analysis:distribution-shape:kurtosis": "PqGO8AU1zE2ZdtqrIrOkZ",
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"descriptive-analysis:dispersion:range": "tSxtyJhL5wjU0XJcjsJmm",
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"descriptive-analysis:dispersion:variance": "ict4JkoVM-AzPbp9bDztg",
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"descriptive-analysis:dispersion:standard-deviation": "MXIP8ekH4YtczODKM_G_l",
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"descriptive-analysis:visualising-distributions": "mCUW07rx74_dUNi7OGVlj",
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"data-visualization": "2g19zjEASJw2ve57hxpr0",
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"data-visualization:tableau": "Sz2Y8HLbSmDjSKAJztDql",
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"data-visualization:matplotlib": "tvDdXwaRPsUSTqJGaLS3P",
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"data-visualization:seaborn": "-cJb8gEBvdVFf7FlgG3Ud",
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"data-visualization:ggplot2": "n3M49lgNPn28hm7kzki-a",
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"data-visualization:powerbi": "SJLeose5vZU8w_18C8_t0",
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"data-visualization:bar-charts": "EVk1H-QLtTlpG7lVEenDt",
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"data-visualization:histograms": "FEyBFZLaGJqTC-IUEcOVS",
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"data-visualization:line-chart": "v9T0DX56jFNhUz9nzubzS",
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"data-visualization:stacked-chart": "329BrtmXjXNLfi1SFfdeo",
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"data-visualization:scatter-plot": "A5YQv7D4qRcskdZ64XldH",
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"data-visualization:heatmap": "G8resQXEVEHCaQfDlt3nj",
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"data-visualization:funnel-chart": "muFy-C2agCX9vR_NU7UZF",
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"data-visualization:pie-chart": "K9xwm_Vpdup9ujYqlD9F3",
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"statistical-analysis": "TeewVruErSsD4VLXcaDxp",
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"statistical-analysis:hypothesis-testing": "Xygwu0m5TeYT6S_8FKKXh",
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"statistical-analysis:correlation-analysis": "murioZ0NdrTix_lqSGz-8",
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"statistical-analysis:regression": "lTycWscyFPi-BtkNg9cdm",
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"machine-learning-basics:reinforcement": "XdBwqLoYYiLJNlWPBEDUj",
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"machine-learning-basics:unsupervised": "FntL9E2yVAYwIrlANDNKE",
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"machine-learning-basics:supervised": "FIYCkGXofKMsXmsqHSMh9",
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"machine-learning-basics": "f4GuzeokP9w_gwtOquP0g",
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"machine-learning-basics:model-evaluation-techniques": "7ikA373qH88HBx5irCgIH",
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"machine-learning-basics:decision-trees": "vHDm_9Lh4EqvXNYSOBaqZ",
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"machine-learning-basics:naive-bayes": "zbUw5PyVsdccbgDTRHg7d",
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"machine-learning-basics:knn": "SStzU_iXSvI_9QWbvGNou",
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"machine-learning-basics:kmeans": "h2xF5bZeUByDgsAi4dga2",
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"machine-learning-basics:logistic": "ofOQKAIu4rezWmgZeE-KT",
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"big-data": "_aUQZWUhFRvNu0MZ8CPit",
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"big-data:concepts": "m1IfG2sEedUxMXrv_B8GW",
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"big-data:data-processing-frameworks:hadoop": "wECWIRMlWNoTxz5eKwaSf",
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"big-data:data-processing-frameworks:spark": "vaiigToDh4522rtWamuSM",
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"big-data:data-storage-solutions": "iTmtpXe7dR4XKslgpsk2q",
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"big-data:data-processing-techniques:parallel-processing": "Fwwve0j-KDfc605IIgmil",
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"big-data:data-processing-techniques:mpi": "fqCAH4Enc4AAJHoSkk2Pe",
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"big-data:data-processing-techniques:map-reduce": "eAM9orCNwzqh34uvGBVm8",
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"deep-learning:cnns": "XlCv2OirEfuBFa4ranyyE",
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"deep-learning:rnns": "Gocm98_tRg5BGxKcP-7zg",
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"deep-learning:neutral-networks": "gGHsKcS92StK5FolzmVvm",
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"deep-learning": "SiYUdtYMDImRPmV2_XPkH",
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"deep-learning:tesnor-flow": "FJ4Sx477FWxyDsQr0R8rl",
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"deep-learning:pytorch": "LJSqfz6aYJbCe_bK8EWI1",
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"deep-learning:image-recognition": "bHPJ6yOHtUq5EjJBSrJUE",
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"deep-learning:natural-language-processing": "DFv-eiYDicF4cA4jgVk9_"
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} |