PYTHON WITH DATA SCIENCE

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Python is very easy it is like a basic English language you can simply read and understand what the code is doing and it is high level programming language used for writing python scripts, GUI apps, webpages, Games, also used in machine learning, Data science, Artificial Intelligence.

About Data science so in data science it is used for handling data because the data is in very messy form in the real world so in data science we first clean the data that is data wrangling. Data wrangling is done like we remove the missing values because there are missing values present in the data. Some data is also irrelevant that is of no use so we remove those columns from the data also there is the data that is in text format that cannot be used for further process so you have to convert that string data into numbers format so that it can feed into further processes and we have to show the graphical representation of the data for the better understanding of the data. For that we use libraries like NumPy, Pandas, Matplotlib.

Python With Data Science Program Details

PYTHON COURSE

  • What is Python
  • Installing Anaconda for Python
  • “Hello World ” Program
  • User Input
  • Advantages & Disadvantage of Python
  • Exercise for Practice
  • Literals
  • Keywords
  • Identifier
  • Variables
  • Exercise for Practice
  • Statement
  • Expression
  • Python Indentation
  • Exercise for practice
  • Single Line Comment
  • Multi Line Comment
  • Boolean
  • Number
  • Strings
  • Bytes
  • Lists
  • Tuples
  • Sets
  • Dictionaries
  • Exercise for practice
  • Arithmetic Operator
  • Assignment Operator
  • Comparison Operator
  • Logical Operator
  • Bitwise Operator
  • Identity Operator
  • Membership Operator
  • Exercise for practice
  • Python if, if-else, else-if, nested-if
  • Python Loop ( For, While )
  • Python Break Keyword
  • Python Continue Keyword
  • Python Pass
  • Exercise for Practice
  • Creating String
  • String Operators
  • Unicode String
  • Use the Built-in-String Functions
  • Exercise for Practice
  • Create the List
  • Accessing the List
  • Slicing List
  • Iterate a List in Python
  • List Operator
  • Searching Elements in a List
  • Sorting a List in Python
  • Built-in List Function
  • Exercise for Practice
  • What is Tuple
  • Tuple Operation
  • Difference between List and Tuple
  • Exercise for Practice
  • What is Dictionary
  • Dictionary Operation
  • Exercise for Practice
  • Introduction to Function
  • Defining a Function
  • Calling a Function
  • Function Arguments/Parameters
  • What is *args and *kwargs in Python
  • Keyword Arguments
  • Default Parameter Values
  • Passing a List as an Argument
  • Return Values
  • Pass Argument
  • Recursion Concept
  • Lambda
  • Built-in Functions
  • Exercise for Practice
  • How to Create File
  • Writing data to a File
  • Reading data from a file using various Read methods
  • Additional File Methods
  • Pickling and Unpickling in Python
  • Exercise for Practice
  • Class and Object
  • Use of self in OOPs
  • Constructors
  • Accessor and Mutator in Python
  • Inheritance
  • Polymorphism
  • Exercise for Practice

DATA SCIENCE​

  • Benefits of Numpy
  • Basic Array Operations
  • Slicing/Stacking Array
  • Indexing with Boolean Array
  • Use Pre-written functions
  • Exercise for Practice
  • What is Pandas
  • Dataframe in Pandas
  • Different ways of Creating Dataframe
  • Read Excel and CSV files
  • Handling Missing Data: Dropna, Fillna, Interpolate
  • Handling Missing Data: Replace Function
  • Group by: Split, Apply, Combine
  • Concat Dataframe
  • Merge Dataframe
  • Reshape Dataframe
  • Date Time Index
  • Exercise for Practice
  • Bar Chart
  • Histogram
  • Pie-Chart
  • Axes, Label, Legend
  • Saving Chart to a File

PYTHON WITH DATA SCIENCE PROJECTS

Pokemon data analysis

data analysis

Titanic survival prediction

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Python With Data Science Training Program

Weekday Classes

  • Monday to Friday
  • Duration : 2 to 3 hours
  • Number of Classes : 60 hours (Instructor LED Training)
  • 8:2 Practical Ratio

Weekend Classes

  • Every Sunday & Saturday
  • Duration : 4 to 8 hours
  • Number of Classes : 60 hours
  • 8:2 Practical Theory Ratio

Delivery Method

  • Classroom Training
  • Online Training
  • Free Demo Class
  • Language English / Hindi

Regular Batch

Mon-Fri : 10:00 am – 12:00 pm
Mon-Fri : 01:00 pm – 03:00 pm
Mon-Fri : 03:00 pm – 05:00 pm
Mon-Fri : 05:00 pm – 07:00 pm

Alternate Batch

Tue-Thu-Sat : 10:00 am – 12:00 pm
Tue-Thu-Sat : 01:00 pm – 03:00 pm
Tue-Thu-Sat : 03:00 pm – 05:00 pm
Tue-Thu-Sat : 05:00 pm – 07:00 pm

Weekend Batch

Sat-Sun : 10:00 am – 01:00 pm
Sat-Sun : 01:00 pm – 04:00 pm
Sat-Sun : 04:00 pm – 07:00 pm

Python With Data Science Registration Procedure

  • Step 1 : Register Yourself Online , for Python With Data Science
  • Step 2 : Pay Training Fee (See Mode of Payment)
  • Step 3 : Mail us the following documents to [email protected]
  • ID Proof Copy (voter ID/Aadhar Card)
  • Fee Payment Receipt (Transaction Screenshot)

Mode of Payment

Via Net-banking : Transfer the amount directly to following bank account Number via IMPS. Keep Screenshot of transaction Successful Page as Payment Receipt.

HDFC Bank Account Details

Account Number : 50200032644569
Account Name : Craw Cyber Security Pvt Ltd
IFSC Bank Code : HDFC0002005

Kotak Bank Account Details

Account Number : 121819060
Account Name : Craw Cyber Security Pvt Ltd
IFSC Bank Code : KKBK0004627

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Our Training Locations

Saket

  • 1st Floor, Plot no. 4, Lane no. 2, Kehar Singh Estate
    Westend Marg Behind Saket Metro Station
    New Delhi – 110030

Laxmi nagar

  • E-61, 3rd floor, Near Hira sweets, Laxmi Nagar
    New Delhi - 110092
    Landmark : Metro pillar no 46

ROHINI

  • Sector 7, Pocket E1/9, 3rd Floor
    Opp. M2K Cinema Hall, Rohini, Delhi
    New Delhi 110085

KANNUR (KERALA)

  • Ashoka Building, 2nd Floor
    Thalikkavu Road, Kannur,
    Kerala 670001

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