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Computer Accounting :- Module :- 1
11-
Fundamental of AccountsLecture1.1
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Rules of AccountsLecture1.2
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Creating /AlteringLecture1.3
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Deleting CompanyLecture1.4
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Group & Ledger CreationLecture1.5
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Journal Entries in Tally AccountingLecture1.6
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Day Book & Cash/Bank BookLecture1.7
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Trading & P&L AccountLecture1.8
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Trial Balance,Balance Sheet and Reports.Lecture1.9
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Managing Accounts of Sole ProprietorshipLecture1.10
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Managing Accounts of Consultancy FirmLecture1.11
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Module - 2
11-
GST in Tally Accounting.Lecture2.1
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Ledgers for GSTLecture2.2
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GST ReportsLecture2.3
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Inventory Management.Lecture2.4
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Purchase & sale VouchersLecture2.5
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Creating Stock GroupLecture2.6
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Stock Items, & unitsLecture2.7
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Maintaining Stock & Depreciation.Lecture2.8
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Managing Account of Partnership FirmLecture2.9
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Bill Wise Details.Lecture2.10
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Inventory Reports.Lecture2.11
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Module :- 3
12-
Managing Account of Different IndustriesLecture3.1
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Journal Entries with GSTLecture3.2
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Purchase & Sales orderLecture3.3
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Cost Centers & Cost CategoriesLecture3.4
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Creating Custom VouchersLecture3.5
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Godwons & Currency CreationLecture3.6
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Bills of Material (BOM)Lecture3.7
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Inter-Godwon TransferLecture3.8
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Creating & Maintaing Price-ListLecture3.9
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Interest CalculationLecture3.10
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Maintaining PayrollLecture3.11
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Security ControlLecture3.12
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Module - 4
9-
Budgeting systems & scenariosLecture4.1
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Variance AnalysisLecture4.2
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Costing Systems & Cost ClassificationLecture4.3
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Management Control SystemsLecture4.4
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Ratio AnalysisLecture4.5
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Cash Flow & Fund Flow StatementLecture4.6
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Analysing and Managing InventoryLecture4.7
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Ordering Levels of StockLecture4.8
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System Administration Other UtilitiesLecture4.9
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Module - 5
14-
CGST, SGST, IGST & UTGSTLecture5.1
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Link between the three taxesLecture5.2
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Composition schemeLecture5.3
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HSN codeLecture5.4
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What is input tax credit (ITC)Lecture5.5
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How to avail the ITCLecture5.6
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Electronic ledgersLecture5.7
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Payment of taxes and taking refundsLecture5.8
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Different types of GST invoicesLecture5.9
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E-way billLecture5.10
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Generation of e-way billLecture5.11
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Provisions of reverse chargeLecture5.12
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Cases where reverse charge is applicableLecture5.13
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Reverse charge in TallyLecture5.14
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Advance excel :- Introduction to MS-Excel
10-
Introduction to MS Excel, Quick review on MS Excel Options, Ribbon, SheetsLecture6.1
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Difference between Excel 2003, 2007, 2010 and 2013Lecture6.2
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Saving Excel File as PDF, CSV and Older versionsLecture6.3
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Using Excel Shortcuts with Full List of ShortcutsLecture6.4
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Copy, Cut, Paste, Hide, Unhide, and Linkthe Data in Rows, Columns and SheetLecture6.5
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Using Paste Special OptionsLecture6.6
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Formatting Cells, Rows, Columns and SheetsLecture6.7
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Protecting & Unprotecting Cells, Rows,Columns and Sheets with or withoutPasswordLecture6.8
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Page Layout and Printer PropertiesLecture6.9
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Inserting Pictures and other objects in WorksheetsLecture6.10
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Advance excel :- Working with Formulas/Functions
12-
Lookup and Reference Functions: VLOOKUP,HLOOKUP, INDEX, MATCH, etcLecture7.1
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Logical Function: IF / ELSE, AND, OR, NOT,TRUE, NESTED IF/ELSE etcLecture7.2
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Database FunctionsLecture7.3
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Lookup and Reference Functions: VLOOKUP,Lecture7.4
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HLOOKUP, INDEX, MATCH, etcLecture7.5
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Logical Function: IF / ELSE, AND, OR, NOT,Lecture7.6
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TRUE, NESTED IF/ELSE etcLecture7.7
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Database FunctionsLecture7.8
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Date and Time Functions: DATE, DATEVALUE,DAY, DAY360, SECOND, MINUTES,HOURS, NOW, TODAY, MONTH, YEAR, YEARFRAC, TIME, WEEKDAY,WORKDAY etcLecture7.9
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Information Functions :Math and Trigonometry Functions: RAND, ROUND,CEILING, FLOOR, INT, LCM,MOD, EVEN, SUMIF,SUMIFS etcLecture7.10
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Statistical Functions: AVEDEV, AVERAGE, AVERAGEA, AVERAGEIF, COUNT,COUNTA, COUNTBLANK, COUNTIF,FORECAST, MAX, MAXA ,MIN, MINA, STDEVA etcLecture7.11
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Text Functions: LEFT, RIGHT, TEXT, TRIM, MID,LOWER, UPPER, PROPER,REPLACE, REPT, FIND, SEARCH, SUBSTITUTE, TRIM, TRUNC,CONVER CONCATENATE, DOLLAR etcLecture7.12
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Advance excel :- Conditional Formatting
4-
Using Conditional FormattingLecture8.1
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Using Conditional Formatting with Cell RulesLecture8.2
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Using Color Scales and Icon Sets in Conditional FormattingLecture8.3
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Creating New Rules and Managing Existing RulesLecture8.4
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Advance excel :- Data Sorting and Filtering
3-
Sorting Data A-Z and Z-ALecture9.1
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Using Filters to Sort DataLecture9.2
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Advance Filtering OptionsLecture9.3
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Advance excel :- Pivot Tables
3-
Creating Pivot TablesLecture10.1
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Using Pivot Table OptionsLecture10.2
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Changing and Updating Data Range Formatting Pivot Table and Making Dynamic Pivot TablesLecture10.3
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Advance excel :- Pivot Charts
3-
Creating Pivot ChartsLecture11.1
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Types of Pivot Charts and Their UsageLecture11.2
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Formatting Pivot Charts and Making Dynamic Pivot ChartsLecture11.3
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Advance excel :- Data Analysis
5-
Advanced FilteringLecture12.1
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Data validationLecture12.2
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ConsolidationLecture12.3
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GroupsLecture12.4
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SubtotalLecture12.5
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Advance excel :- Excel Macros
4-
What is Excel Macro ?Lecture13.1
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How to Record / Run Excel Macro ?Lecture13.2
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How Add Developer’s Tab in Excel 2007 / 2010Lecture13.3
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How to add different types of controls like Text Box, Radio button, button etc. in ExcelLecture13.4
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Basic Python
27-
Introduction to PythonLecture14.1
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Python – The Universal LanguageLecture14.2
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Installing PythonLecture14.3
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Python – *Hello World*Lecture14.4
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Using the InterpreterLecture14.5
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iPython – a better Python interpreterLecture14.6
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Types – Dynamic v/s Static Typing -tstrong v/s Weak TypingLecture14.7
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NumbersLecture14.8
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StringsLecture14.9
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UnicodeLecture14.10
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Complex TypesLecture14.11
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Operators – Operator OverloadingLecture14.12
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VariablesLecture14.13
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Scopping And ExpressionsLecture14.14
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Use of tabs and whitespaces as indentLecture14.15
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Conditionals – for…elseLecture14.16
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The general syntaxLecture14.17
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Default values for argumentsLecture14.18
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Returning and receiving multiple valuesLecture14.19
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Variable number of arguments – args,kwargsLecture14.20
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Scope revisitedLecture14.21
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ListsLecture14.22
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TuplesLecture14.23
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Maps (or Dictionaries)Lecture14.24
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SetsLecture14.25
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EnumsLecture14.26
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Looping TechniquesLecture14.27
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Data Analysis with Python
25-
Installing Anaconda and Jupyter NotebookLecture15.1
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Jupyter Notebook overviewLecture15.2
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Importing data from a csv, text file or another databaseLecture15.3
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Overview of various methods and attributes of NumpyLecture15.4
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ArrayLecture15.5
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Creating 1 dimensional arraysLecture15.6
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Creating 2 dimensional arraysLecture15.7
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Array indexingLecture15.8
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Accessing array elementsLecture15.9
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Concatenating Numpy arraysLecture15.10
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Arithmetic operations with arraysLecture15.11
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CovarianceLecture15.12
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Linear RegressionLecture15.13
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Overview of various methods and attributes of PandasLecture15.14
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IntroductionLecture15.15
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Working with various Series attributesLecture15.16
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IntroductionLecture15.17
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PivotingLecture15.18
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SortingLecture15.19
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AggregationLecture15.20
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Descriptive statistical analysis with PandasLecture15.21
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Introduction to MatplotlibLecture15.22
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Various Matplotlib methodsLecture15.23
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Creating Line, Scatter, Bar, etc. chartsLecture15.24
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Customising charts using: X and Y labels, Limits, Ticks, LegendsLecture15.25
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Ms Access
23-
Microsoft Access IntroductionLecture16.1
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About Databases and NormalizationLecture16.2
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Access Database ObjectsLecture16.3
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Navigating MS AccessLecture16.4
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Creating a Database and Adding TablesLecture16.5
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Object ViewsLecture16.6
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Simple FormsLecture16.7
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Introduction to Controls and Formatting FormsLecture16.8
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QueriesLecture16.9
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Using Criteria, Operators, and WildcardsLecture16.10
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Parameter QueriesLecture16.11
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Relationships and JoinsLecture16.12
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Creating Calculated ExpressionsLecture16.13
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Summarizing DataLecture16.14
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PivotTablesLecture16.15
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PivotChartsLecture16.16
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ReportsLecture16.17
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Designing Your ReportLecture16.18
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Advanced Formatting for ReportsLecture16.19
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MacrosLecture16.20
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Printing and Exporting ReportsLecture16.21
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Importing and Exporting DataLecture16.22
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Project( Management Information System)Lecture16.23
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R Programming
34-
R–OVERVIEWLecture17.1
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R – ENVIRONMENT SETUPLecture17.2
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R – BASIC SYNTAXLecture17.3
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R – DATA TYPESLecture17.4
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R – VARIABLESLecture17.5
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R – OPERATORSLecture17.6
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R – DECISION MAKINGLecture17.7
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R – LOOPSLecture17.8
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R – FUNCTIONLecture17.9
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R – LISTSLecture17.10
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13.R – MATRICESLecture17.11
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R – ARRAYSLecture17.12
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R – FACTORSLecture17.13
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R – DATA FRAMESLecture17.14
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R – PACKAGESLecture17.15
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R – DATA RESHAPING MeltLecture17.16
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The DataLecture17.17
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R – CSV FILESLecture17.18
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R – EXCEL FILE Input as xlsxLecture17.19
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R – BINARY FILESLecture17.20
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R – XML FILESLecture17.21
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R – WEB DATALecture17.22
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R – DATABASESLecture17.23
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R – PIE CHARTSLecture17.24
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R – BAR CHARTSLecture17.25
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R – BOXPLOTSLecture17.26
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R – HISTOGRAMSLecture17.27
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R – SCATTERPLOTSLecture17.28
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R – MEAN, MEDIAN & MODELecture17.29
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R – LINEAR REGRESSIONLecture17.30
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R – MULTIPLE REGRESSIONLecture17.31
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R – LOGISTIC REGRESSIONLecture17.32
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R – NORMAL DISTRIBUTIONLecture17.33
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R – BINOMIAL DISTRIBUTIONLecture17.34
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