Big Data Analysis Employment Course Syllabus


      
      Big data analysis employment class course outline enumeration:
      the first stage Mysql from entry to proficiency/Python from entry to proficiency course module course content
      MySQL database
     database concept and its function introduction, database installation and configuration, database table creation and precautions, Database addition, deletion, modification, query and other operations, multi-table relationship and query, multi-table inner join query, query, multi-table outer join query, multi-table subquery use, group query and having filter, transaction introduction , Database isolation level setting and transaction operation relationship, database backup
     Python language basic
     variables, identifiers and keywords, input and output, data type conversion, loops, lists, tuples, dictionaries, strings, function definitions, function calls, File reading and writing; object-oriented, class definition, inheritance, class and object methods, exception handling
     Python high-level language
     closure, decorator, iterator, generator, introduction to regular expressions, introduction to multitasking, process use, thread synchronization and Mutex
     Phase II Data Analysis and Data Visualization
    Course Module Course Content Data Analysis
    Numpy Array, Pandas, Data Reading and Writing, Python Database Operation, Data Screening, Data Statistics, Data Processing, Groupby Grouping Aggregation, Data Merging Data Visualization Matplotlib
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     Seaborn , Pyecharts, basic drawing (line chart, column chart, pie chart, etc.), group comparison, dynamic interaction, geographical chart, graphic combination,
     big data analysis employment class training teacher list:

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Origin blog.csdn.net/tipdm0526/article/details/130558994