Python Data Science Syllabus - Credence
Python Data Science SyllabusCredence IT Professional Training InstituteTushar Kathalkar/ Yusuf Tamboli 918237916162 917385318590 919766722458 918275219894www.credence.inAddress : Indira Heights, Survey no. 34/5, Radhe Sham Building, MohanNagar, Dhankawadi, Pune, Maharashtra 411043
Python1: Introduction to Python Installation and Working with PythonUnderstanding Python variablesPython basic OperatorsUnderstanding python blocksType casting, Unicode etc.2: Python Data Types Declaring and using Numeric data types: int, float, complex, boolUsing string data type and string operationsDefining list and list slicingUse of Tuple data type22
Python3: Python Program Flow Control Conditional blocks using if, else and elifSimple for loops in pythonFor loop using ranges, string, list and dictionariesUse of while loops in pythonLoop manipulation using: pass, continue, breakProgramming using Python conditional and loops block4: Python String, List, set and Dictionary Manipulations Building blocks of python programsUnderstanding string in build methodsList manipulation using in build methodsTuple operationSet manipulationDictionary manipulation33
Python5: Fundamentals of Object orientation: Class, ObjectConstructorTypes of VariablesMethods and its typesImporting ClassOOP’s Concepts: Inheritance, Encapsulation, Abstraction, PolymorphismFile handling: text, binary, csvException handling: try, except, else, finally44
Data Science6. Complete Data Science: NumPy: (Numerical Python)Introduction to NumpyDatatypes of ndarraysDealing with ndarrays, copies and viewsArithmetic operations,Indexing , Slicing, splitting arraysShape manipulationStacking together different data7. Pandas: (Data Analysis) DataFrame and SeriesDataFrame operationsData Slicing, indexingDataFrame functionsReading the files- csv, excelBoolean filteringStoring file in various formatsUseful DataFrame functions55
Data SciencePandas: (Data Analysis) Stats using pandas Dealing with missing data Operations over the dataMatplotlib ( Data Visualization) Introduction to MatplotlibSimple plottingFormatting the graph: colors, markers, line style, etcCustomizationPlotting with list, arrays, pandasTypes: scatter plot, bar chart, pie chart, histogram66
Python Advance ModulesFile HandlingException HandlingRegular ExpressionPython OOPs ConceptsPolymorphismMulti ThreadingPython Database programming77
IDE Pycharm Eclips Atom88
Django Introduction To Web Development &MVT vs MVC & Config with IDE(Pycharm & ATOM)Development of First Web ApplicationTemplate & Static FilesWorking with Models and databaseWorking with Django FormsWorking with Django Model FormsWorking with Django Model Forms99
Django Working with Advance Template FeaturesSession ManagementUser Authentication and AuthorizationClass Based ViewsCRUD operations by using both CBVs and FBVsDjango ORMWorking with Advanced Model ConceptsWoking with Django MiddlewareDeployment of our application in LIVE EnvironmentREAL TIME PROJECT1010
Oddo Introduction Of OdooInstall odoo particular version in IDE(Eclips)How to Create Custom module(py with xml)How to create deferent type fields.How to define all type of View and act-windowSet access right in odooInherit and add fields to existing views and models in Odoo1111
Oddo Model in worksa. Websites website buildersE-CommerceEventEvent managementb. Salesc. Operation SalesCRMInvoicingPoint of 2
SQL What is Data?What is Database?DBMS VS RDBMS?SQL statementsI. DDLII. DMLIII. DCLIV. TCL1313
SQLSQL Operators ArithmeticComparisonLogicalSetLikeConcatenationSQL functions AggregateCharacterDateNumberSQL constraints Primary keyUniqueCheckNot nullDefaultForeign keyComposite key1414
SQLSQL joins Inner joinLeft outerRight outerFull outerPseudo columns Rank()Dense rank()RownumRowidSQL clauses WhereGroup byHavingOrder byEqui joinNon equi joinCross joinSelf joinMultiple table joinsPLSQL Store proceduresTriggersViews1515
Data Warehousing – ETL BIData Warehouse Concepts: Introduction of Analytical system , Data Warehouse and ETL ProcessArchitecture/technical Flow/Data Flow/High level Design of data warehouseDifferences between OLTP and OLAP.Normalization and De-Normalization.Difference between relational and dimensional modelling.Introduction of Fact table, Dimension table and It’s TypesSurrogate KeyData Mapping Document1616
Data Warehousing - ETL BIData Warehouse Concepts: Data Models:a) Conceptual Modelb) Logical Modelc) Physical Model Star Schema, Snowflake Schema, Galaxy SchemaBusiness Intelligence : Introduction of BI tool Tableau Report Development1717
Tools1.2.3.4.SQL DeveloperSQL server management studioVisual studio SSISTableau1818
Post Course Completion Operations Technical interviews HR interviews Resume building1919
Thanks !2020
Python 3: Python Program Flow Control Conditional blocks using if, else and elif Simple for loops in python For loop using ranges, string, list and dictionaries Use of while loops in python Loop manipulation using: pass, continue, break Programming using Python conditional and loops block 4: Python String, List, set and Dictionary Manipulations
Python Programming for the Absolute Beginner Second Edition. CONTENTS CHAPTER 1 GETTING STARTED: THE GAME OVER PROGRAM 1 Examining the Game Over Program 2 Introducing Python 3 Python Is Easy to Use 3 Python Is Powerful 3 Python Is Object Oriented 4 Python Is a "Glue" Language 4 Python Runs Everywhere 4 Python Has a Strong Community 4 Python Is Free and Open Source 5 Setting Up Python on .
Python 2 versus Python 3 - the great debate Installing Python Setting up the Python interpreter About virtualenv Your first virtual environment Your friend, the console How you can run a Python program Running Python scripts Running the Python interactive shell Running Python as a service Running Python as a GUI application How is Python code .
Python is readable 5 Python is complete—"batteries included" 6 Python is cross-platform 6 Python is free 6 1.3 What Python doesn't do as well 7 Python is not the fastest language 7 Python doesn't have the most libraries 8 Python doesn't check variable types at compile time 8 1.4 Why learn Python 3? 8 1.5 Summary 9
site "Python 2.x is legacy, Python 3.x is the present and future of the language". In addition, "Python 3 eliminates many quirks that can unnecessarily trip up beginning programmers". However, note that Python 2 is currently still rather widely used. Python 2 and 3 are about 90% similar. Hence if you learn Python 3, you will likely
There are currently two versions of Python in use; Python 2 and Python 3. Python 3 is not backward compatible with Python 2. A lot of the imported modules were only available in Python 2 for quite some time, leading to a slow adoption of Python 3. However, this not really an issue anymore. Support for Python 2 will end in 2020.
The Monty Python : œuvres (62 ressources dans data.bnf.fr) Œuvres audiovisuelles (y compris radio) (20) Monty Python live (mostly) (2014) Monty Python live (mostly) (2014) Monty Python live (mostly) (2014) "Monty Python, almost the truth" (2014) de Alan Parker et autre(s) avec The Monty Python comme Acteur "Monty Python, almost the truth" (2014)
Python & Machine Learning Python for Data Science WEEK 1 Learn the Python fundamentals needed for data science. Manipulating and Understanding Data WEEK 2 Learn how to load, clean, and manipulate data using the Python library Pandas. Additionally, you will learn the strengths and weaknesses of using Python to manipulate data. Exploratory .
Description Logic: A Formal Foundation for Ontology Languages and Tools Ian Horrocks Information Systems Group Oxford University Computing Laboratory Part 1: Languages . Contents Motivation Brief review of (first order) logic Description Logics as fragments of FOL Description Logic syntax and semantics Brief review of relevant complexity .
