Python online course
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    Python and Data Analysis Training

    Python Online Course with Certification

    Learn Python in 3 months, from the basics to data analysis with NumPy, Pandas and Matplotlib. Linux and SQL are included. Choose live online, classroom or self paced learning. This Python course online with certificate ends with a certificate of completion.

    ★ 4.3 out of 5 rating 15k+ learners trained Certificate on completion
    • Live Interactive Classes
    • Job Assistance
    • Industry Expert Trainers
    • Recorded Classes on LMS
    • Hands On Practicals
    • Online and Classroom Batches

    or call +91 8147111254. Monday to Saturday, 9 AM to 7 PM.

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      Course experience level:


      Course Duration
      3 Months
      Learning Mode
      Live Online, Classroom and Self Paced
      Projects
      Practicals and a Real Time Project
      Certification
      Certificate of Completion
      Job Support
      Job Assistance
      Batch Timing
      [Confirm batch timings]
      Experience Level
      Beginner Friendly
      Fees Start At
      ₹5,000

      Who Should Take This Online Python Course for Beginners?

      This course is for:

      Beginners

      Start from scratch with Linux, SQL and Python basics.

      Students and Graduates

      Build a programming base and your first data analysis skills.

      Working Professionals

      Learn on a flexible schedule with recorded classes on your LMS.

      Aspiring Data Analysts

      Learn NumPy, Pandas and Matplotlib with SQL before moving to data tools.

      Not sure which course is right for you?
      Take our 2 minute course finder to choose between Python, Data Analyst, Data Science and Big Data.
      Find My Course →

      What You Will Learn in the Python Course

      Linux SQL Python Setup and Basics Operators Data Structures Control Flow NumPy and SciPy Matplotlib and Pandas
      By the end of the course, you'll be able to:
      Python tools and libraries
      Python
      Anaconda
      Linux
      MySQL
      NumPy
      SciPy
      Matplotlib
      Pandas

      Python Course with Projects and Hands On Practice

      Practical 01

      Your First Python Programs

      Tools: Python, Anaconda
      You'll build:
      • Python installed with Anaconda
      • Your first Python program
      • Functions with and without parameters, and lambda expressions
      • A class with a member function, a variable and an object
      View Practical →
      Practical 02

      NumPy and SciPy Practicals

      Tools: NumPy, SciPy
      You'll build:
      • An array created with NumPy
      • Standard deviation of a set of numbers
      • Correlation between two variables
      • The Bayes theorem applied to a given dataset
      View Practical →
      Practical 03

      Data Analysis with Pandas

      Tools: Pandas, JSON
      You'll build:
      • Data imported from JSON files
      • Records selected by group
      • Top records filtered and viewed
      • Data sorted, joined and combined
      View Practical →

      Each practical gives you something specific to explain in an interview.

      Python Career Roles After This Course

      Course
      Skill Building
      Hands On Practicals
      Real Time Project
      CV Help
      Interview Preparation
      Job Assistance
      Career roles you can target
      Role Core Skills
      Junior Python Programmer Python basics, data structures, control flow
      Data Analyst SQL, Pandas, NumPy, Matplotlib
      Reporting Analyst SQL, Pandas, Matplotlib
      Junior SQL Developer Linux, SQL, MySQL
      Data Science Trainee NumPy, SciPy, Pandas

      Job assistance is described below with what it includes. These roles are examples of where the skills are used. This course does not guarantee a job offer.

      How Prwatech supports your job search

      What job assistance includes, in detail.

      01

      CV Help

      Get help creating a professionally written CV.

      02

      Interview Preparation

      Get guidance for interview preparation and common interview questions.

      03

      Real Time Project

      Work on an industry grade project to see how Python is used at work.

      04

      Screening Test

      Learners who pass the screening test receive interview calls.

      05

      Job Assistance

      [Describe exactly what else this includes, such as referrals or a job board.]

      92% learners placed since 2010
      Verify against internal placement records and delete this line before the page goes live.
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      Why Learn Python with Prwatech

      15+ Years
      Training Experience
      15k+
      Learners Trained
      Industry
      Experts Lead Live Q&A
      Recorded
      Classes on Your LMS
      Job
      Assistance Included
      Online +
      Classroom Batches

      Python Trainers

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      [Trainer Name]

      [Current role]
      [Years of experience]
      Specialization: [Specialization]
      Photo

      [Trainer Name]

      [Current role]
      [Years of experience]
      Specialization: [Specialization]

      Meet Your Trainers →

      Student Reviews

      ★ 4.3 average from 299+ verified Google reviews

      Every review is public on Google.

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      Before → After
      Before After
      No coding experience Python programs with functions and loops
      No SQL SQL queries to create and manage tables
      No data library skills NumPy, Matplotlib and Pandas
      No interview practice Interview preparation guidance

      Python Course Syllabus

      1. Linux
      • Introduction to Linux and types of operating systems
      • Basic commands
      • Linux architecture, shell and kernel
      • Path variable and the cd command
      • Process states in UNIX
      • File system, and changing and checking the current directory
      • Listing objects by modification time
      2. SQL
      • Databases, DBMS and their types
      • MySQL, SHOW DATABASES and USE
      • CREATE TABLE and INSERT INTO
      • SELECT, UPDATE, DELETE and TRUNCATE
      • SQL data types and primary keys
      • Null and not null values, and auto increment
      3. Python Environment Setup and Language Basics
      • Introduction to Python, its features and advantages over other languages
      • Installing Anaconda Python on Windows, Mac and Linux, and deploying a Python IDE
      • Basic commands, data types, variables and keywords
      • Keyboard shortcuts and magic functions
      • Built in data types, classes, modules and strings
      • Loops and control statements: while, for, if, break, else and continue
      • Hands on: first Python program, functions with and without parameters, lambda expressions, classes, member functions and objects
      4. Operators and Python Data Structures
      • Arithmetic, relational, logical, membership, identity, bitwise and assignment operators
      • Operator precedence, evaluating expressions and type casting
      • Lists: creating, accessing, joining, replicating and slicing
      • Tuples: creating, accessing, joining, replicating and slicing
      • Sets and frozen sets: creating, accessing, joining, replicating and slicing
      • Dictionaries: accessing values, working with dictionaries and their properties
      5. Program Control Flow
      • Conditional statements: if, if else, if elif and nested if
      • Python indentation
      • Looping and iteration: for loop, while loop, loop else and nested loops
      • Break and continue
      • The range function: introduction, types and use
      6. NumPy and SciPy
      • Introduction to arrays and matrices
      • Broadcasting of array math and array indexing
      • Standard deviation, conditional probability, correlation and covariance
      • Introduction to SciPy, and functions built on NumPy: cluster, linalg, signal, optimize and integrate
      • SciPy with the Bayes theorem
      • Hands on: importing NumPy, creating an array, standard deviation, correlation and the Bayes theorem on a dataset
      7. Matplotlib for Data Visualization
      • Plots with the functional approach and multiple plots with subplot
      • Figures with the object oriented API
      • Axes, labels and titles
      • Customization: figure size, dpi and plot appearance
      • Markers, axis control and special plot types
      8. Pandas for Data Analysis
      • Introduction to Python DataFrames
      • Importing data from JSON, CSV, Excel, SQL databases and NumPy arrays
      • Selecting, filtering, sorting, viewing, joining and combining data
      • Hands on: importing data from JSON files, selecting a record by group and filtering top records

      Python Course Fees, Duration and Learning Formats

      The Python course runs for 3 months. All formats include the same curriculum and projects.

      Swipe sideways to compare all three formats →

      Self Paced Most Popular
      Live Online
      Classroom
      Recorded Content ✓ ✓ ✓
      Live Classes Not included ✓ ✓
      Trainer Support Limited ✓ ✓
      Projects ✓ ✓ ✓
      Career Support [Specify] ✓ ✓
      Access Lifetime [Duration] [Duration]
      Price
      ₹5,000
      or ₹[X,XXX] per month EMI
      ₹13,500
      or ₹[X,XXX] per month EMI
      ₹14,000
      or ₹[X,XXX] per month EMI

      Talk to an Advisor

      What happens after you enquire?

      1
      Submit enquiry
      2
      Advisor calls you
      3
      Discuss background & goals
      4
      Choose suitable batch
      5
      Complete enrollment
      6
      Start learning

      Python Course FAQs

      Who can join this Python course?
      Beginners, students, graduates, working professionals and aspiring data analysts can join. The course starts with Linux, SQL and Python basics, so you do not need earlier coding experience.
      Is this an online Python course for beginners?
      Yes. You learn Linux and SQL first, then Python from installation to control flow, and then the data libraries. Classes are live and recorded, so you can repeat any topic. You do not need to know SQL or Linux before joining.
      What is the Python course duration?
      The course runs for 3 months.
      What are the Python course fees?
      The live online course fee is ₹13,500. The classroom fee is ₹14,000. The self paced course costs ₹5,000. Contact the learning team for EMI details.
      What is in the Python course syllabus?
      The syllabus has 14 modules: Linux, SQL, Python setup, language basics, operators, lists, tuples, sets, dictionaries, program control flow, NumPy, SciPy, Matplotlib and Pandas. See the full syllabus above.
      Is this a Python certification course?
      You receive a Prwatech certificate of completion, and it is included in the course. It is a course certificate and not a vendor exam. Preparation for a vendor exam is not part of this course.
      Does the course cover advanced Python or web development?
      The course covers Python programming basics and the data libraries NumPy, SciPy, Matplotlib and Pandas. It does not cover web frameworks such as Django or Flask. If you want to continue into machine learning and analytics, see our Data Science course.
      Will I work on projects?
      Yes. The modules include hands on exercises, and a real time project is part of the course.
      Do you provide job assistance?
      Learners who pass the screening test receive interview calls. We also help with your CV and with interview preparation. We do not guarantee a job offer.
      What if I miss a live class?
      Every class is recorded and uploaded to your LMS. Earlier class recordings and presentations are also available to you.

      Start Learning Python

      Get the complete curriculum and speak with a learning advisor about the right learning format for you.

      Call our Counselors ✆+91 8147111254