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rogramming mern stack developer ai devops engineer full stack net developer ai productivity tools e commerce website mastery ai tools build mobile apps with flutter dart ai it system and networks it system and networks ccnp enterprise encor enarsi cisco certified network associate ccna red hat linux administration i ii microsoft azure administrator mcsa windows server administration cisco enterprise network core technologies encor comptia a comptia linux comptia network comptia cloud implementing cisco enterprise advanced routing and services enarsi implementing and operating cisco data center core technologies dccor implementing and operating cisco collaboration core technologies clcor business management business management microsoft office ai tools cbap certified business analysis professional pmp project management professional exam preparation 8th edition cybersecurity cybersecurity cyber security mastery ethical hacking mastery penetration testing soc analysis comptia cysa 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productivity tools e commerce website mastery ai tools build mobile apps with flutter dart ai it system and networks ccnp enterprise encor enarsi cisco certified network associate ccna red hat linux administration i ii microsoft azure administrator mcsa windows server administration cisco enterprise network core technologies encor comptia a comptia linux comptia network comptia cloud implementing cisco enterprise advanced routing and services enarsi implementing and operating cisco data center core technologies dccor implementing and operating cisco collaboration core technologies clcor business management microsoft office ai tools cbap certified business analysis professional pmp project management professional exam preparation 8th edition cybersecurity cyber security mastery ethical hacking mastery penetration testing soc analysis comptia cysa incident handler comptia security threat intelligence implementing and configuring cisco identity services engine sise certified ethical hacker ceh ai certified penetration testing professional cpent ai comptia pentest implementing and operating cisco security core technologies scor ccsk certificate of cloud security knowledge applied arts media and design video editing reels for social media with ai creation professional motion graphics ai workflow graphic design ai ux ui designer ai cinema 4d complete production workflow data management data scientist machine learning and generative ai engineer data analysis with excel and power bi data analysis masterclass ai microsoft excel masterclass itsm it service management itil 5 foundation vendors microsoft data analysis with excel and power bi full stack net developer ai productivity tools microsoft azure administrator mcsa windows server administration microsoft office ai tools microsoft excel masterclass cisco ccnp enterprise encor enarsi cisco certified network associate ccna implementing and configuring cisco identity services engine sise implementing and operating cisco security core technologies scor implementing and operating cisco collaboration core technologies clcor pmi project management institute pmp project management professional exam preparation 8th edition ec council certified ethical hacker ceh ai certified penetration testing professional cpent ai itil itil 5 foundation csa cloud security alliance ccsk certificate of cloud security knowledge comptia comptia cysa comptia security comptia a comptia linux comptia network comptia pentest comptia cloud contact us about us data analysis masterclass ai skills you ll learn prerequisites outline target audience what you ll learn about this course certificate career paths total duration 120 hours level beginner intermediate delivery mode virtual learning public classroom available schedules view all schedules book your seat now download syllabus pdf book your seat now skills you ll learn 13 skills data analysis basics excel data analysis dashboard building power query power pivot modeling sql data cleaning python data analysis pandas data handling numpy data processing data visualization 3 more skills you ll learn data analysis basics excel data analysis dashboard building power query power pivot modeling sql data cleaning python data analysis pandas data handling numpy data processing data visualization data governance basics ai analytics workflows portfolio project building prerequisites good knowledge of excel fundamentals basic computer skills no prior experience in data analysis course outline this isn t just a course it s a structured path designed to turn you into a specialist ready for the global job market foundations of data and data analytics microsoft excel analyzing data with excel data cleaning preparation with sql microsoft power bi data analyst data analysis using python make data driven decisions data storytelling business communication data governance ai for data analysts portfolio career preparation one of capstone project foundations of data and data analytics module 1 introduction to data analytics what is data analysis importance of data in business data analysis process overview types of data and analysis careers in data analysis overview of common tools excel sql python power bi module 2 introduction to statistics mean median mode variance standard deviation descriptive vs inferential statistics understanding trends and patterns basic data interpretation module 3 introduction to data visualization importance of data visualization common chart types bar charts pie charts line charts scatter plots choosing the right visualization principles of effective visual design microsoft excel module 1 advanced functions for analysis modern lookup reference xlookup index match dynamic array functions filter unique sort error handling text functions iferror module 2 data preparation analysis techniques working with excel tables structured references table features advanced filtering sorting remove duplicates data validation drop down lists dependent lists conditional formatting module 3 pivot table and pivot chart dashboard design principles build an interactive dashboard featuring pivot tables pivot charts slicers analyzing data with excel data analysis in excel classic data analysis with excel excel pivot tables limitations of classic data analysis describe classic data analysis with excel describe excel pivot tables describe the limitations of classic data analysis with excel the excel data model using an excel data model dax describe an excel data model view data within an excel data table describe dax importing data from files importing data into excel shaping and transforming data loading data import data into excel shape and transform data load data importing data from databases available data sources previewing shaping and transforming data table relationships and hierarchies loading data identify available data sources preview shape and transform data explain table relationships and hierarchies load data from various sources importing data from excel reports importing data from excel reports transforming excel report data import data from excel reports transform excel report data creating and formatting measures dax measures advanced dax functions explain what dax is and when to use it describe a measure use some of the advanced functions within dax visualizing data in excel pivot charts cube functions charts for cube functions create and refine a pivot chart describe cube functions and when to use them describe a number of charts for use with cube functions using excel with power bi power bi uploading excel data to power bi power bi mobile app describe power bi and the various versions available upload excel data to power bi describe the power bi app excel power pivot for data analysis excel data model advanced excel capabilities for large scale data transformation and modeling introduction to power pivot data import transformation power pivot fundamentals data modeling in excel creating relationships dax basics in power pivot building analytical dashboards data cleaning preparation with sql module 1 introduction to data cleaning data integrity introduction to data cleaning importance of data quality common data quality issues missing data duplicate records inconsistent formatting invalid values data integrity concepts entity integrity referential integrity risks of poor data quality real world data integrity issues module 2 exploring data using sql queries introduction to sql for data exploration select statements filtering data with where sorting results using order by using distinct basic data exploration techniques module 3 data cleaning using sql functions text cleaning functions trim upper lower replace handling null values coalesce nullif removing duplicates correcting inconsistent entries module 4 organizing filtering data group by basics filtering grouped data logical conditions in sql segmenting categorizing data ranking organizing records creating structured data outputs module 5 verifying validating cleaned data data validation techniques comparing data before after cleaning verifying cleaning operations sql queries for quality checks auditing sql results best practices for data accuracy microsoft power bi data analyst discover data analytics overview of data analysis roles in data tasks of a data analyst get started building with power bi use power bi building blocks of power bi tour and use the power bi service get data in power bi get data from files get data from relational data sources get data from a database get data from online services select a storage mode fix performance issues resolve data import errors clean transform and load data in power bi shape the initial data simplify the data structure evaluate and change column data types combine multiple tables into a single table profile data in power bi use advanced editor to modify m code design a data model in power bi work with tables create a date table work with dimensions define data granularity work with relationships and cardinality resolve modeling challenges add measures to power bi desktop model create simple measures create quick measures compare calculated columns with measures use dax time intelligence functions in power bi desktop models use dax time intelligence functions additional time intelligence calculations optimize a model for performance in power bi review performance of measures relationships and visuals use variables to improve performance and troubleshooting reduce cardinality optimize direct query models with table level storage create and manage aggregations design power bi reports design the analytical report layout design visually appealing reports report objects select report visuals select report visuals to suit the report layout format and configure visualizations work with key performance indicators configure power bi report filters apply filters to the report structure apply filters with slicers design reports with advanced filtering techniques select report filter techniques enhance power bi report designs for the user experience design reports to show details design reports to highlight values design reports that behave like apps work with bookmarks design reports for navigation work with visual headers tune report performance optimize reports for mobile use perform analytics in power bi introduction to analytics identify outliers with power bi visuals group and bin data for analysis apply clustering techniques use the analyze feature create what if parameters use specialized visuals create and manage workspaces in power bi distribute a report or dashboard recommend a development life cycle strategy configure data protection manage datasets in power bi use a power bi gateway to connect to on premises data sources configure a dataset scheduled refresh configure incremental refresh settings manage and promote datasets create dashboards in power bi introduction to dashboards explore data by asking questions review quick insights add a dashboard theme set mobile view implement row level security data analysis using python module 1 python programming fundamentals python environment setup jupyter notebook variables data types lists tuples dictionaries conditions loops functions working with files module 2 python for data analysis with pandas nump numpy fundamentals series data frames importing csv excel files filtering sorting missing values duplicates string date operations merge concatenate group by pivot tables exploratory data analysis eda module 3 data visualization with python matplotlib line chart bar chart histogram seaborn heatmap boxplot scatter plot business storytelling with data reporting best practices insight communication module 4 python integration capstone project reading excel files with pandas exporting results to excel reading sql query results using chat gpt with python end to end mini project import data cleaning analysis visualization business insights make data driven decisions explain the p...
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