Data Analytics Masters - From Basics To Advanced

- Description
- Curriculum
- FAQ
- Reviews
Congrats on enrolling in the Data Analytics Masters Course!!
Need of Data Analytics
The outburst of data is transforming businesses. Companies – big or small – are now expecting their business decisions to be based on data-led insight.
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Data specialists have a tremendous impact on business strategies and marketing tactics.
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The demand for data specialists is on the rise while the supply remains low, thus creating great job opportunities for individuals within this field.
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Today, it is almost impossible to find any brand that does not have a social media presence; soon, every company will need data analytics professionals.
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This makes it a wise career move that has a future in business.
Job Roles after the course
This course will help you to step forward in Data Analytics and choose the following roles
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Data Analyst
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Business Analyst
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BI Analyst
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BI Developer
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Power BI Developer
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Tableau Developer
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and many more…
Syllabus:
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Module 1: Python for Data Analytics
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Module 2: Exploratory Data Analysis
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Module 3: Business Statistics
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Module 4: SQL
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Module 5: Microsoft Excel
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Module 6: Power BI
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Module 7: Tableau
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Module 8: Predictive Modelling
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Module 9: Data Warehousing and ETL
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Module 10: Interview Guides
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Module 11: Capstone Projects
Conclusion:
By the end of this course, you’ll have a strong foundation in data analysis and the confidence to tackle real-world data problems. You’ll be ready to step into a data analyst role with a robust portfolio of projects to showcase your skills.
Enroll now and start your journey to becoming a proficient Data Analyst!
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1Welcome PageText lesson
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2Welcome to the CourseText lesson
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3What is Data AnalyticsVideo lesson
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4Importance of Data AnalyticsVideo lesson
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5Types of DataVideo lesson
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6Types of Statistical AnalysisVideo lesson
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7Steps to obtain a Data Analytics solutionVideo lesson
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8Business UnderstandingVideo lesson
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9Data UnderstandingVideo lesson
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10Data CollectionVideo lesson
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11Data PreparationVideo lesson
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12Data ModellingVideo lesson
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13DeploymentVideo lesson
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14Use CaseVideo lesson
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15Course ContentsText lesson
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16Introduction to PythonVideo lesson
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17Variables & KeywordsVideo lesson
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18Datatypes OperatorsVideo lesson
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19ListsVideo lesson
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20TuplesVideo lesson
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21SetsVideo lesson
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22DoctionaryVideo lesson
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23Loops & IterationVideo lesson
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24FunctionsVideo lesson
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25Map Reduce FilterVideo lesson
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26File HandlingVideo lesson
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27Control StructuresVideo lesson
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28OOPSVideo lesson
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29NumPyVideo lesson
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30PandasVideo lesson
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31Data VisualizationVideo lesson
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32MatplotlibVideo lesson
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33SeabornVideo lesson
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34Course ContentsText lesson
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35IntroductionVideo lesson
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36Types of Data (Agenda)Video lesson
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37Descriptive StatsVideo lesson
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38Inferential StatsVideo lesson
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39Qualitative DataVideo lesson
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40Quantitative DataVideo lesson
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41Sampling Techniques (Agenda)Video lesson
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42Population vs SampleVideo lesson
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43Why Sampling is importantVideo lesson
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44Types of SamplingVideo lesson
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45Cluster Random SamplingVideo lesson
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46Probability SamplingVideo lesson
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47Non probability samplingVideo lesson
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48Population SamplingVideo lesson
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49Why n-1 and not nVideo lesson
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50Descriptive Analytics (Agenda)Video lesson
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51Measures of Central TendencyVideo lesson
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52MeanVideo lesson
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53MedianVideo lesson
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54ModeVideo lesson
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55Measures of DispersionVideo lesson
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56RangeVideo lesson
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57IQRVideo lesson
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58Variance Standard DeviationVideo lesson
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59Mean DeviationVideo lesson
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60Probability (Agenda)Video lesson
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61ProbabilityVideo lesson
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62Addition RuleVideo lesson
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63Independent EventsVideo lesson
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64Cumulative ProbabilityVideo lesson
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65Conditional ProbabilityVideo lesson
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66Bayes Theorem 1Video lesson
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67Bayes Theorem 2Video lesson
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68Probability Distrubution (Agenda)Video lesson
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69Uniform DistributionVideo lesson
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70Binomial DistributionVideo lesson
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71Poisson DistributionVideo lesson
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72Normal Distribution Part 1Video lesson
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73Normal Distribution Part 2Video lesson
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74SkewnessVideo lesson
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75KurtosisVideo lesson
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76Calculating Probability with Z-score for Normal Distribution Part 1Video lesson
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77Calculating Probability with Z-score for Normal Distribution Part 2Video lesson
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78Calculating Probability with Z-score for Normal Distribution Part 3Video lesson
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79Covariance & Correlation (Agenda)Video lesson
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80CovarianceVideo lesson
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81CorrelationVideo lesson
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82Covariance VS CorrelationVideo lesson
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83ANOVAVideo lesson
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84Hypothesis TestingVideo lesson
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85Tailed TestsVideo lesson
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86p-valueVideo lesson
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87Types of TestVideo lesson
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88T TestVideo lesson
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89Z TestVideo lesson
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90Chi Square TestVideo lesson
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91Correlation Test (Practicals)Video lesson

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