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Master Python Programming with Expert Trainers in Chennai – From Basics to Advanced Concepts.

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Course Duration

32 Hrs.

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2 Project

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  • Python is an easy and versatile programming language that professionals and beginners use. It assists you in creating websites, apps, games, and even programming robots. The programming is simple to read, as if it were written in English, making it ideal for learning to program. Python is also applied in large fields such as data science, machine learning, and automation. Google and Netflix use it as well. You can write tiny scripts or construct intricate systems. It is platform-independent and has a huge following that can assist you. For beginners in coding, Python is one of the simplest places to begin.
  • Whether you are a newcomer to coding or want to change your profession, this course teaches you software development, data analysis, and automation using Python. Students have a full base with practical use cases and projects.
  • Halfway through the course, the Python Course in Chennai brings in frameworks such as Flask, Pandas, and NumPy to assist you in resolving real-time problems. The interactive learning process allows you to practice each of these concepts. It involves logic development, project management, and career counselling to equip you to work in real-world jobs. You'll be job-ready and ready to ace interviews.

Python Course in Chennai

About-Us-Course

  • Our training has the goal of educating you on how Python is applied in web, testing, and data projects. Following the introduction of fundamental concepts, the Python Training in Chennai proceeds to advanced topics such as object-oriented programming, data visualization, and file handling. At the conclusion of the training, you'll be aware of how to develop reusable Python scripts and automate real-time processes.
  • What You'll Learn:
    • How to install Python and configure your environment (Anaconda, Jupyter, VS Code)

      Variables, data types, input/output, operators

      Writing decision-making code with if, elif, and else

      Loops (for, while) and nested control structures

      Functions: built-in, custom, lambda, and recursion

      Connecting Python with MySQL/SQLite databases

      Using NumPy for scientific computing

      Web development basics using Flask or Django

      Python integration with APIs and third-party libraries

      Developing 1 major and 3 mini-projects based on actual use-cases

  • Majority of the IT firms in Chennai recruit Python-trained freshers to work in automation, backend development, or data. While hiring for assessments, the project-experienced candidates from the Python Classes in Chennai tend to get better offers. Average salaries will be in the range of 3.5 6 LPA. If you have completed courses such as PCEP or developed live projects, you can negotiate better.
  • What to Expect:
    • Freshers (no experience): 3.2 LPA 4.5 LPA

      Trained + certified freshers: 4.5 LPA 6 LPA

      Python with data analysis skill: 5 LPA 7.5 LPA

      Freelancing/remote Python jobs: 15k to 40k per project

  • Salary Increases With:
    • Your coding skills

      Project exposure while training

      Knowledge of libraries such as Pandas, Flask, Django

      GitHub portfolio and certifications

  • If you are planning for long-term professional development, Python leads to several fields. Once you complete the Python Course in Chennai, you can begin working in development, testing, or analytics fields and progress to senior technical roles. For instance, most students become backend developers, machine learning engineers, or test automation lead within 24 years.
  • How Your Career Can Grow:
    • Year 1: Python Developer / QA Automation / Data Analyst

      Year 23: Web Developer / Scripting Engineer / Backend Developer

      Year 4+: Data Scientist / Full Stack Developer / Machine Learning Engineer

  • Future Upskills Possible:
    • Learn Django REST API for advanced web apps

      Combine Python with Selenium for automation testing

      Add data science or AI libraries like Scikit-learn, TensorFlow

      Begin DevOps using Python + Docker + Jenkins

  • Python has become the most sought-after programming language in various sectors. One of the reasons that students choose the Python Classes in Chennai is that organizations here are aggressively recruiting for Python-based development, analytics, and testing engineers. The ease of learning of the course, numerous applications, and career choices make it a good starting point. Students from IT and non-IT streams can learn Python easily and develop actual projects.
  • Reasons for Popularity
    • Easy to learn and beginner-friendly

      Applicable to both complicated and straightforward projects

      Excellent job demand in Chennai IT industry

      Needed in start-ups as well as MNCs

      Utilized in mobile applications, web applications, AI, cloud, IoT

  • Upon completing this training, you will be prepared for junior positions in software development and data. The Chennai Python Course prepares you for roles such as Python Developer, Automation Tester, Web Developer, or Data Analyst.
  • Job Titles You Can Apply For:
    • Python Developer

      Data Analyst

      QA Automation Engineer

  • Typical Responsibilities:
    • Write and test Python scripts or programs

      Connect Python with APIs and databases

      Handle backend logic for web applications

      Perform data cleaning, filtering, and reporting

      Automate daily office tasks or system processes

      Create dashboards or data visualization charts

  • Python is applied across all key industries, hence a skill worth having in the present job market. In the Python Training in Chennai, students are prepared to equip the skill requirements of recruiting industries such as IT services, banking, healthcare, and logistics. Industries such as these employ Python for the development of internal tools, automation, analytics, and web applications.
  • Industries That Employ Python Specialists:
    • IT & Software Services

      Finance and Banking (for data automation)

      Healthcare Tech (AI and Data)

      Education Technology

      Logistics and Supply Chain

      Automotive Industry (for IoT and testing)

      Startups (Backend + Web apps)

  • After this hands-on training, you'll be given several certifications. On completing the Python Training institute in Chennai, you'll be awarded a course completion certificate, project experience letters, and internship credentials (if picked). These certificates are worth value on your resume and during interviews. Along with the in-house certifications, the training also gets you equipped with international-level exams such as PCEP and PCAP.
  • What You'll Receive:
    • Course Completion Certificate (institute branded)

      Internship Certificate (if selected during the course)

      Real-time Project Certificate (for capstone project)

      Preparation Guidance for PCAP, PCEP (global exams)

      GitHub Project Code + Resume Upload Guidance

  • There are numerous options available to learn coding, but the difference lies in the fact that we emphasize practical learning and job assistance. During the Python Course in Chennai, we offer live project coding, hands-on training, and real-time case studies. Our trainers are industry professionals who infuse real-industry knowledge into every session. Resume writing, GitHub project uploads, and interview preparation are provided to assist you. Our placement cell gets you connected with top IT companies in Chennai. We don't only educate you in Python; we train you to work on actual projects, face job interviews, and progress in your career in the tech industry.

  • Our placement team engages with you immediately after course completion. During the second half of the Python Training institute in Chennai, we initiate resume preparation, mock interviews, and coding test practice.
  • Step-by-step Placement Support:
    • Mock Interviews: Post-course completion, we hold live mock interviews based on company patterns.

      Resume Creation: Our experts assist you in creating a professional resume with project achievements.

      Interview Placement: We send your profile to our networked companies and HR connections.

      Aptitude & HR Classes: Classes for aptitude, logical reasoning, and HR interview phases.

      Job Notifications: Receive frequent job notifications on our WhatsApp groups and LMS platform.

      Soft Skills Guidance: Communication, email etiquette, and confidence-building advice.

  • Companies We Work With
    • TCS, Infosys, Cognizant, Zoho, HCL, Freshworks, PayPal, and many Chennai-based startups and product companies.

Why Should You Learn Python?

Not just learning –

we train you to get hired.

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CURRICULUM & PROJECTS

Python Training Program

    What is Data Analytic

    Common Terms in Data Analytics

    What is data

    Classication of data

    Relevance in industry and need of the hour

    Types of problems and business objectives in various industries

    How leading companies are harnessing the power of analytics

    Critical success drivers.

    Overview of Data Analytics tools & their popularity.

    Data Analytics Methodology & problem-solving framework.

    List of steps in Data Analytics projects

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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 Comments, Multiline Comments.
    • Python Indentation
    • Understating the concepts of Operators
      • Arithmetic
      • Relational
      • Logical
      • Assignment
      • Membership
      • Identity
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    Introduction to Statistics

    • Categorical Data
    • Numerical Data
    • Mean
    • Median
    • Mode
    • Outliers
    • Range
    • Interquartile range
    • Correlation
    • Standard Deviation
    • Variance
    • Box plot

    Understanding Statistics

    • Descriptive Statistics
    • Sample vs Population Statistics
    • Random variables
    • Probability distribution functions
    • Expected value
    • Normal distribution
    • Gaussian distribution
    • Z-score
    • Spread and Dispersion
    • Correlation and Co-variance

    Data Pre-Processing & Data Mining

    • Data Preparation
    • Feature Engineering
    • Feature Scaling
    • Datasets
    • Dimensionality Reduction
    • Anomaly Detection
    • Parameter Estimation
    • Data and Knowledge
    • Selected Applications in Data Mining

    EDA (Exploratory Data Analysis)

    • Need for structured exploratory data
    • EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)
    • Identify missing data
    • Identify outliers’ data
    • Imbalanced Data Techniques
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    Data Analysis and Visualization using 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 Data Frame 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)

    Data Analysis and Visualization using 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

    Data Analysis and Visualization using 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.

    Introduction to Data Visualization with 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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32 Hrs.
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Weekday1 Hr/Day
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Mock Interviews

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.
How Croma Campus Mock Interview Works?

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FAQ's

Yes. Our course starts from scratch and includes practical training plus placement support.

Yes. There will be a final coding test and project demo evaluation before certification.

Yes. We provide full placement guidance for online as well as offline students.

Yes. You can join a free trial session to experience the teaching style.

Yes. You will be provided with session recordings through our LMS.

Career Assistancecareer assistance
  • - Build an Impressive Resume
  • - Get Tips from Trainer to Clear Interviews
  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired

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