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Embark on a transformative journey with our Advanced Python Course, designed to learn python basic to advanced.
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40 Hrs.Live Project
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Corporate Served- Ready to elevate your Python skills Our Advanced Python Coding Course takes you beyond the basics. Explore advanced libraries like NumPy and Pandas, dive deep into Object-Oriented Programming, and craft dynamic web apps using Flask or Django. Learn the art of containerization with Docker, tackle concurrency challenges, and sharpen debugging expertise.
- Why Advanced Python:
- While basic Python courses lay the foundation, the advanced curriculum propels you into specialized domains. Gain proficiency in high-demand skills, discover efficient coding patterns, and delve into sophisticated applications. Whether you're eyeing data science, web development, or backend engineering, our advanced python programming course empowers you with the expertise to thrive.
- Enroll Now to learn advanced python programming:
- Beyond Basics, Beyond Boundaries:
- Transition from a Python enthusiast to a proficient coder. Python Programming for Advanced topics Course not only enhances your skill set but opens doors to specialized career paths. Whether you aspire to be a data scientist, web developer, or backend engineer, our course equips you with the tools and knowledge to thrive in diverse Python-centric roles.
In-Depth Libraries: Master NumPy and Pandas for advanced data manipulation.
Web App Mastery: Build robust web applications with Flask or Django.
Containerization: Understand Docker for efficient app deployment.
Concurrency Handling: Tackle simultaneous tasks effectively.
Debugging Excellence: Hone your skills to troubleshoot complex issues.
Advanced Python Programming Course
- Advanced Python Programming Course:
Basic Python Proficiency: A strong understanding of core Python concepts and syntax is essential.
Object-Oriented Programming (OOP) Knowledge: Familiarity with OOP principles and practices will be beneficial.
Web Development Basics (for Web Track): If you're opting for the web development track, basic knowledge of HTML, CSS, and JavaScript is recommended.
Database Basics (for Web Track): For the web development track, a grasp of fundamental database concepts would be advantageous.
- Enroll for Advanced Python Course:
Experienced Python Developers: Individuals with a solid understanding of basic Python who want to enhance their skills and tackle more advanced concepts.
Web Developers: Those looking to delve into advanced Python libraries for web development, including frameworks like Django and Flask.
Data Scientists: Professionals in the field of data science seeking to leverage advanced Python capabilities for data analysis, machine learning, and visualization.
Software Engineers: Anyone in the software development domain aiming to strengthen their Python proficiency and explore advanced programming techniques.
Computer Science Graduates: Recent graduates or students with a computer science background keen on deepening their Python expertise beyond the basics.
- Course Objectives
Mastering Advanced Python Concepts: Dive deep into complex Python features and programming patterns.
Web Development with Advanced Python Libraries: Explore frameworks like Django and Flask for robust web applications.
Data Analysis and Visualization: Utilize Python's advanced capabilities for data manipulation, analysis, and visualization.
Machine Learning Integration: Learn how to implement machine learning algorithms using Python libraries.
Code Optimization Techniques: Enhance coding efficiency and performance through advanced optimization strategies.
Project-Based Learning: Apply acquired skills through hands-on projects to reinforce understanding.
Industry-Relevant Practices: Understand and implement best practices adhering to industry standards.
Collaborative Coding: Develop skills for working on collaborative projects using version control systems.
Preparation for Real-World Challenges: Equip yourself to tackle complex programming challenges with confidence.
- Upon completing our Advanced Python Course, our Python team guides you with effective interview tips and aids in crafting an impressive resume. Our industry-expert instructors understand the specific requirements that organizations seek in Python professionals, ensuring your preparedness for securing lucrative salary packages within the Python from Beginner to Advanced space.
- Entry-Level Salary: $74K annually
- Experienced-Level Salary: $160K annually
- Acquire essential skills swiftly, securing positions in top global industries. Convert learning opportunities into job offers with comprehensive placement assistance, covering personality development and resume building. Choosing our Python Advanced Topics training course opens doors to an attractive salary package commensurate with your experience and expertise.
- Python's code is highly accessible and sustainable, making it the preferred choice for organizations. The platform's extensive benefits have led to a rapid shift towards Python Advanced Topics, resulting in excellent future prospects for learners and a multitude of job opportunities.
- Embrace Python Online Certification Training today to elevate your skills and knowledge base for a promising career trajectory.
Designing testable and reusable code
Executing scripts for basic tasks
Acquiring skills for increased responsibilities and higher salary packages
- Discover the diverse career advantages that unfold upon the successful completion of our Python training course, enriched with specialized keywords. Recognized as the leading Python training institute, we empower you to ascend as a seasoned IT professional, securing acknowledgment that distinguishes you as a certified expert.
- Career Benefits of Completing the Python Training Course:
- Embark on a transformative journey of professional development with our Python Course in Delhi, where success is not just a destination but a continuous pursuit of excellence from beginner to advanced proficiency.
Professional Growth: Our training, including a Python advanced tutorial, propels you towards flourishing in the IT industry, setting you apart as a proficient programmer.
Knowledge Enhancement: Immerse yourself in a comprehensive expansion of your knowledge base, transforming from a Python beginner to advanced proficiency.
Certification Advantage: Attaining certification elevates you above the average candidate, signaling your commitment and expertise in Python programming, from foundational to advanced levels.
Hands-On Expertise: Your certification serves as tangible proof of your hands-on proficiency in Python, validating your practical skills across the beginner to advanced spectrum.
Salary Package Enhancement: Certified Python programmers, especially those progressing from a beginner to advanced level, typically command better salary packages, recognizing the value of their specialized skills.
- Python, a versatile programming language, is commonly employed for handling data science tasks, making it the preferred choice among data scientists for optimizing their daily workflows. Its accessibility allows individuals of varying expertise to learn, and it demonstrates superior performance in comparison to traditional programming languages.
- Proficiency in Python entails not only technical skills but also strong communication abilities, both verbal and written. A skilled Python programmer should adhere to timelines to ensure the timely and effective release of code.
- Expertise in Python empowers individuals to adeptly manage workloads, showcasing the language's efficiency in handling diverse tasks. Professionals are expected to exhibit a degree of independence in their work, contributing to their effectiveness in various roles.
- Engaging in a Python training course provides the opportunity to master best practices, equipping participants with the knowledge to deliver optimal business solutions across industries.
- With the detailed Advanced Python Programming Course, you would become ready to complete the following roles and responsibilities in Python.
Mastery of Server-Side Logic: Proficiently employ server-side logic in various applications and systems.
Software Development for Asset Management: Develop robust software solutions specifically tailored for effective asset management.
Integration of Software Solutions: Write and implement software solutions to seamlessly integrate different systems, ensuring smooth operations.
Creation of Testable and Reusable Code: Produce code that is not only testable but also reusable, enhancing efficiency and maintainability.
Support for New Projects: Provide support for the initiation and implementation of new projects, contributing to the growth and development of the organization.
Expertise in Data Storage Solutions: Integrate and manage data storage solutions, ensuring efficient handling and retrieval of information.
Implementation of Data Security and Protection: Implement robust measures for data security and protection, safeguarding sensitive information from potential threats.
Collaboration and Communication: Effectively collaborate with team members, clients, and stakeholders, demonstrating strong communication skills to convey ideas and solutions.
Problem Solving and Troubleshooting: Apply advanced problem-solving skills and troubleshoot issues efficiently, ensuring the smooth functioning of Python-based applications.
Adherence to Best Practices: Follow industry best practices in Python programming, adhering to coding standards and guidelines.
Continuous Learning and Adaptation: Stay abreast of the latest advancements in Python and related technologies, adapting to evolving industry trends.
Documentation: Maintain thorough documentation of code, projects, and processes to facilitate knowledge transfer and future development.
- For a competitive edge in the job market, individuals, including software engineers, data analysts, software developers, and data scientists, can benefit from online Python Certification Course. Institutes, recognizing the demand, now offer Python training online. To enhance employment prospects, choosing the right provider is crucial.
- Croma Campus stands out as a leading choice for Advanced Python Online Training in India, catering to beginners, intermediates, and advanced professionals. Our well-structured courses, enriched study materials, and live sessions prepare you comprehensively for Python job interviews. We provide top Python Online Training in India interview questions to assess your skills, helping you build confidence and clear doubts promptly.
- This comprehensive approach ensures you're well-prepared to secure positions in esteemed companies like Microsoft, Google, Oracle, Cloud Big Data Technology, American Express, Cisco Systems, Bank of America, and others.
- Upon completing this course, you'll acquire the knowledge necessary to successfully pass any certification exam. Post Practical Python Training, you must undertake a project, which, once completed satisfactorily, will be reviewed by our experts. A graduation degree is the only prerequisite for eligibility in Python training. Many individuals have already enrolled in the Python Course in Noida at Croma Campus, and now it's your turn to join!
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CURRICULUM & PROJECTS
Advanced Python Programming Course
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- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
- Arithmetic
- Relational
- Logical
- Assignment
- Membership
- Identity
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- Categorical Data
- Numerical Data
- Mean
- Median
- Mode
- Outliers
- Range
- Interquartile range
- Correlation
- Standard Deviation
- Variance
- Box plot
- 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 Preparation
- Feature Engineering
- Feature Scaling
- Datasets
- Dimensionality Reduction
- Anomaly Detection
- Parameter Estimation
- Data and Knowledge
- Selected Applications in Data Mining
- 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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- 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)
- 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
- 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 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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