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Learn how to use Python with Data Science Course. Join today to learn under the mentorship of an expert data scientist.

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Course Duration

32 Hrs.

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  • Python is basically an open-sourced, interpreted, high-level language that is extensively used for object-oriented programming. In fact, it is one of the most-widely languages utilized by data scientists hugely for numerous Data Scientists and their applications respectively. Moreover, Python presents extraordinary performance to deal with mathematics, statistics, and scientific characteristic. If you also dream to turn into a Data Scientist, then you must have detailed information concerning Mathematics, Python, and its implementation precisely.
    • Here, you will get a probability to gather training from industry-experienced experts conserving numerous years of experience in the applicable fields.

      Furthermore, here, our trainers will information you related to its stipulations as well.

      Along with training, we will additionally guarantee you 100% placement.

      You will get hold of in-depth training as well.

  • Along with training, you will experience a whole new learning experience. In fact, our trainers will indulge you in various kinds of group discussions, and debates to know your understandability of yours concerning this subject.

Python for Data Scientist Training

About-Us-Course

  • After enrolling in our courses, you will discover our course content being constructed as per the latest features, specifications, and trends. In a way, you will get ample opportunities to learn new things.
    • Our trainers will teach you this subject right from the scratch.

      They will inform you of the use of "Expressions, and Variables. Describe Data Structures in Python including Lists, Tuples, Dictionaries, Sets, etc.

      Further, they will also explain to you the utilization and implementation of Loops, Functions, Objects & Classes. Work with data in Python using Pandas and NumPy libraries respectively.

      You will not only receive theoretical information but also get the chance to receive its practical information as well.

      You will be provided with study material also.

  • Moreover, getting started with our online certification will resource you to accumulate some hidden data involving this Data Science Course
    • In a way, you will in addition reap its stipulations appropriate from the scratch.

      With having this legit accreditation in hand, it will be worthwhile to proceed to be regular in this course for a longer time.

      Our trainers will in addition aid you to get positioned in a specific company.

      To be accurate, by acquiring its in-depth information, you will get a chance to earn around 10.2 lakhs INR per annum respectively.

  • Data Scientists are hugely in demand in the market, and by choosing this direction, you will get a fair opportunity to acquire its exposure. This direction will also give you chance to shine and be at the top of your career.
    • By obtaining this legit certification in hand, your probability of getting settled into an organization will increase.

      Furthermore, by way of the potential of imbibing its particular information, you will shortly turn into a professional in this field.

      Moreover, as a freelancer also, you will be successful to make an acceptable respectable extent of money.

      In fact, your chances of getting settled into a multi-national company will increase.

      By obtaining this accreditation, your skills will get validated and you will be able to work professionally as a Data Scientist.

  • There are various reasons to choose this certification. One of the significant reasons is its high demand, bright scope, and increased utilization in numerous sectors. If you want to turn into a successful Data Scientist, then you should surely obtain this accreditation.
    • Your mathematical, and statistical skills will get polished.

      Moreover, your programming skills will also get enhanced.

      You will turn into a skilled Data Scientist.

      You will acquire its minute details.

      Moreover, this accreditation will also help you in getting settled with huge establishments like TCS, IBM, etc.

  • Well, a Data Scientist is entitled to perform a lot of tasks, one of their main tasks includes handling huge volumes of data. You must know what you might get indulged in after turning into a Data Scientist.
    • Your foremost duty will be to make use of raw data and extract valuable information from it.

      You will also have to interpret large data sets.

      Furthermore, your job role will also include giving some business-driven decisions by analysing the data.

      In fact, your job role will also be to execute automated data collection and management process.

      In a way, you will also have to indulge in processing, and cleansing of data.

  • Here are some of the top organizations hiring for Data Scientist:
    • IBM, TCS, Accenture, Wipro, Amazon, Cognizant, etc, are the top companies hiring skilled Data Scientists.

      Opting for this specific field will be beneficial for you in numerous ways.

      In fact, by obtaining this accreditation, your career graph will get uplifted.

      You will acquire a highly-secure position for yourself.

      You will also receive a higher salary package.

  • Advantages of Completing the Data Science Certification Course at Croma Campus:
    • By entering Croma Campus, you will get a wide range of certifications belonging to different industries.

      You will find our accreditations being extensively accepted by the IT territory.

      Obtaining accreditation from Croma Campus will assist you to get settled into a good workspace.

      Moreover, here, you will receive an interactive sort of training, that will also improve your communication skills.

      We will give you access to the Learning Management System, where you will be able to see your performance, go through your class videos, assignments, etc.

Why you should choose Python with Data Science Course?

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CURRICULUM & PROJECTS

Python for Data Scientist Training

  • Python has been a favourite option for Data Scientists who use it for building and using Machine Learning Applications and other Scientific Computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger.
  • In this program you will learn:
    • Python Training

      Data Analysis and Visualization using Pandas.

      Data Analysis and Visualization using NumPy and MatPlotLib

      Introduction to Data Visualization with Seaborn

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  • Introduction To Python
    • Installation and Working with Python

      Understanding Python variables

      Python basic Operators

      Understanding the Python blocks.

  • Python Keyword and Identiers
    • Python Keyword and Identiers

      Python Comments, Multiline Comments.

      Python Indentation

      Understating the concepts of Operators

      • Arithmetic
      • Relational
      • Logical
      • Assignment
      • Membership
      • Identity
  • Introduction To Variables
    • Variables, expression condition and function

      Global and Local Variables in Python

      Packing and Unpacking Arguments

      Type Casting in Python

      Byte objects vs. string in Python

      Variable Scope

  • Python Data Type
    • Declaring and using Numeric data types

      Using string data type and string operations

      Understanding Non-numeric data types

      Understanding the concept of Casting and Boolean.

      Strings

      List

      Tuples

      Dictionary

      Sets

  • Control Structure & Flow
    • Statements – if, else, elif

      How to use nested IF and Else in Python

      Loops

      Loops and Control Statements.

      Jumping Statements – Break, Continue, pass

      Looping techniques in Python

      How to use Range function in Loop

      Programs for printing Patterns in Python

      How to use if and else with Loop

      Use of Switch Function in Loop

      Elegant way of Python Iteration

      Generator in Python

      How to use nested Loop in Python

      Use If and Else in for and While Loop

      Examples of Looping with Break and Continue Statement

      How to use IN or NOT IN keyword in Python Loop.

  • Python Function, Modules and Packages
    • Python Syntax

      Function Call

      Return Statement

      Arguments in a function – Required, Default, Positional, Variable-length

      Write an Empty Function in Python –pass statement.

      Lamda/ Anonymous Function

      *args and **kwargs

      Help function in Python

      Scope and Life Time of Variable in Python Function

      Nested Loop in Python Function

      Recursive Function and Its Advantage and Disadvantage

      Organizing python codes using functions

      Organizing python projects into modules

      Importing own module as well as external modules

      Understanding Packages

      Random functions in python

      Programming using functions, modules & external packages

      Map, Filter and Reduce function with Lambda Function

      More example of Python Function

  • Python Date Time and Calendar
    • Day, Month, Year, Today, Weekday

      IsoWeek day

      Date Time

      Time, Hour, Minute, Sec, Microsec

      Time Delta and UTC

      StrfTime, Now

      Time stamp and Date Format

      Month Calendar

      Itermonthdates

      Lots of Example on Python Calendar

      Create 12-month Calendar

      Strftime

      Strptime

      Format Code list of Data, Time and Cal

      Locale’s appropriate date and time

  • List
    • What is List.

      List Creation

      List Length

      List Append

      List Insert

      List Remove

      List Append & Extend using “+” and Keyword

      List Delete

      List related Keyword in Python

      List Revers

      List Sorting

      List having Multiple Reference

      String Split to create a List

      List Indexing

      List Slicing

      List count and Looping

      List Comprehension and Nested Comprehension

  • Tuple
    • What is Tuple

      Tuple Creation

      Accessing Elements in Tuple

      Changing a Tuple

      Tuple Deletion

      Tuple Count

      Tuple Index

      Tuple Membership

      TupleBuilt in Function (Length, Sort)

  • Dictionary
    • Dict Creation

      Dict Access (Accessing Dict Values)

      Dict Get Method

      Dict Add or Modify Elements

      Dict Copy

      Dict From Keys.

      Dict Items

      Dict Keys (Updating, Removing and Iterating)

      Dict Values

      Dict Comprehension

      Default Dictionaries

      Ordered Dictionaries

      Looping Dictionaries

      Dict useful methods (Pop, Pop Item, Str , Update etc.)

  • Sets
    • What is Set

      Set Creation

      Add element to a Set

      Remove elements from a Set

      PythonSet Operations

      Frozen Sets

  • Strings
    • What is Set

      Set Creation

      Add element to a Set

      Remove elements from a Set

      PythonSet Operations

  • Python Exception Handling
    • Python Errors and Built-in-Exceptions

      Exception handing Try, Except and Finally

      Catching Exceptions in Python

      Catching Specic Exception in Python

      Raising Exception

      Try and Finally

  • Python File Handling
    • Opening a File

      Python File Modes

      Closing File

      Writing to a File

      Reading from a File

      Renaming and Deleting Files in Python

      Python Directory and File Management

      List Directories and Files

      Making New Directory

      Changing Directory

  • Python Database Interaction
    • SQL Database connection using

      Creating and searching tables

      Reading and Storing cong information on database

      Programming using database connections

  • Contacting user Through Emails Using Python
    • Installing SMTP Python Module

      Sending Email

      Reading from le and sending emails to all users

  • Reading an excel
    • Working With Excel

      Reading an excel le using Python

      Writing to an excel sheet using Python

      Python| Reading an excel le

      Python | Writing an excel le

      Adjusting Rows and Column using Python

      ArithmeticOperation in Excel le.

      Play with Workbook, Sheets and Cells in Excel using Python

      Creating and Removing Sheets

      Formatting the Excel File Data

      More example of Python Function

  • Complete Understanding of OS Module of Python
    • Check Dirs. (exist or not)

      How to split path and extension

      How to get user prole detail

      Get the path of Desktop, Documents, Downloads etc.

      Handle the File System Organization using OS

      How to get any les and folder’s details using OS

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  • Statistics
    • Categorical Data

      Numerical Data

      Mean

      Median

      Mode

      Outliers

      Range

      Interquartile range

      Correlation

      Standard Deviation

      Variance

      Box plot

  • Pandas
    • Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to les

      How to get record specic records Using Pandas Adding & Resetting Columns, Mapping with function

      Using the Excel File class to read multiple sheets More Mapping, Filling

      Nonvalue’s

      Exploring the Data Plotting, Correlations, and Histograms

      Getting statistical information about the data Analysis Concepts, Handle the None Values

      Reading les with no header and skipping records Cumulative Sums and Value Counts, Ranking etc

      Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows

      Applying formulas on the columns Basic Grouping, Concepts of Aggre

      gate Function

      Complete Understanding of Pivot Table Data Slicing using iLoc and Loc property (Setting Indices)

      Under sting the Properties of Pivot Table in Pandas Advanced Reading

      CSVs/HTML, Binning, Categorical Data

      Exporting the results to Excel Joins:

      Python | Pandas Data Frame Inner Join

      Under sting the properties of Data Frame Left Join (Left Outer Join)

      Indexing and Selecting Data with Pandas Right Join (Right Outer Join)

      Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)

      Pandas | Find Missing Data and Fill and Drop NA Appending DataFrame and Data

      Pandas | How to Group Data How to apply Lambda / Function on Data

      Frame

      Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)

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  • NumPy
    • Introduction to NumPy: Numerical Python

      Importing NumPy and Its Properties

      NumPy Arrays

      Creating an Array from a CSV

      Operations an Array from a CSV

      Operations with NumPy Arrays

      Two-Dimensional Array

      Selecting Elements from 1-D Array

      Selecting Elements from 2-D Array

      Logical Operation with Arrays

      Indexing NumPy elements using conditionals

      NumPy’s Mean and Axis

      NumPy’s Mode, Median and Sum Function

      NumPy’s Sort Function and More

  • MatPlotLib
    • Bar Chart using Python MatPlotLib

      Column Chart using Python MatPlotLib

      Pie Chart using Python MatPlotLib

      Area Chart using Python MatPlotLib

      Scatter Plot Chart using Python MatPlotLib

      Play with Charts Properties Using MatPlotLib

      Export the Chart as Image

      Understanding plt. subplots () notation

      Legend Alignment of Chart using MatPlotLib

      Create Charts as Image

      Other Useful Properties of Charts.

      Complete Understanding of Histograms

      Plotting Different Charts, Labels, and Labels Alignment etc.

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  • Introduction to Seaborn
    • Introduction to Seaborn

      Making a scatter plot with lists

      Making a count plot with a list

      Using Pandas with seaborn

      Tidy vs Untidy data

      Making a count plot with a Dataframe

      Adding a third variable with hue

      Hue and scattera plots

      Hue and count plots

  • Visualizing Two Quantitative Variables
    • Introduction to relational plots and subplots

      Creating subplots with col and row

      Customizing scatters plots

      Changing the size of scatter plot points

      Changing the style of scatter plot points

      Introduction to line plots

      Interpreting line plots

      Visualizing standard deviation with line plots

      Plotting subgroups in line plots

  • Visualizing a Categorical and a Quantitative Variable
    • Current plots and bar plots

      Count plots

      Bar plot with percentages

      Customizing bar plots

      Box plots

      Create and interpret a box plot

      Omitting outliers

      Adjusting the whisk

      Point plots

      Customizing points plots

      Point plot with subgroups

  • Customizing Seaborn Plots
    • Changing plot style and colour

      Changing style and palette

      Changing the scale

      Using a custom palette

      Adding titles and labels: Part 1

      Face Grids vs. Axes Subplots

      Adding a title to a face Grid object

      Adding title and labels: Part 2

      Adding a title and axis labels

      Rotating x-tics labels

      Putting it all together

      Box plot with subgroups

      Bar plot with subgroups and subplots

      Well done! What’s next

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Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.
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Projects

Validate your skills and knowledge by working on industry-based projects that includes significant real-time use cases.Gain hands-on expertize in Top IT skills and become industry-ready after completing our project works and assessments.Our projects are perfectly aligned with the modules given in the curriculum and they are picked up based on latest industry standards. Add some meaningful project works in your resume, get noticed by top industries and start earning huge salary lumps right away.
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FAQ's

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This course will hardly take your 3 months to fully get into its detailing.

It's not mandatory though, but it will be appreciable if you will belong from the computer-science background.

The training will be imparted by industry experts holding numerous years of experience in this field.

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