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Delve into the principles of Python with expert-led training at Croma Campus.
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Corporate Served- A Python course in Bangalore offers a great opportunity to learn one of the most popular programming languages. Python is easy to understand, making it perfect for beginners. The course will teach you how to write code, solve problems, and build projects. In Bangalore, you will find many institutes that offer both online and offline classes. Python course in Bangalore cover topics like data structures, web development, automation, and artificial intelligence. Some courses also provide hands-on experience with real-life projects. When choosing a course, look for experienced trainers, a clear curriculum, and good reviews to ensure you get quality training.
- What You Will Learn:
- Personal Skills Development:
- Problem-Solving: You'll learn how to break down complex problems and find solutions using code, improving your critical thinking.
- Attention to Detail: Coding requires precision, so you will develop the ability to notice and correct mistakes quickly.
- Time Management: You'll manage projects and tasks, learning how to prioritize and complete work efficiently.
- Adaptability: As technology evolves, you will get better at learning new tools and concepts, helping you stay flexible in your career.
- Communication: you will improve your ability to explain technical ideas clearly to others, whether teammates or clients.
- Teamwork: Working on group projects or collaborations will strengthen your ability to work effectively with others.
- Confidence: As you build and complete projects, you'll gain more confidence in your skills and abilities.
- Prerequisites of this course:
- Before starting a Python coaching in Bangalore, you dont need to have advanced skills, but there are a few things that will help. First, having basic computer knowledge is important, like knowing how to use a computer and navigate the internet. Its also useful to have some understanding of mathematics, especially in areas like addition, subtraction, multiplication, and division. A curious mindset and willingness to learn are key! If you have no prior programming experience, thats okay; Python is beginner-friendly. Some courses might ask for basic knowledge of logic or algorithms, but most are designed for beginners.
- Who Should Attend:
Python Basics
Data Structures
Object-Oriented Programming
Web Development
Automation Scripts
APIs Integration
Database Handling
Data Analysis
Machine Learning
Project Building
Beginners
Students
Job Seekers
Career Switchers
Tech Enthusiasts
Professionals
Entrepreneurs
Developers
Analysts
Freelancers
Python Course in Bangalore
- The objective of Python coaching in Bangalore is to teach you how to write and understand Python code. These classes aim to provide hands-on experience, making sure you can use Python to solve real-life problems. you will learn key concepts like programming basics, data structures, and web development. The goal is to make you job-ready, whether you're interested in software development, data analysis, or automation. The classes also help you build problem-solving skills, which are valuable in any career. By the end of the course, you should feel confident in using Python for various projects and tasks.
- After completing a Python course, freshers (beginners) in India can expect a starting salary of around 3,00,000 to 6,00,000 per year. The exact salary depends on factors like the city, the company, and your skills. In cities like Bangalore, where tech jobs are common, salaries tend to be higher. Entry-level roles such as Python Developer, Data Analyst, or Web Developer can offer good pay. If you have additional skills like machine learning or web development, your salary could be on the higher end. Over time, with more experience, your salary can increase significantly.
- After completing Python classes in Bangalore, you can expect good career growth. Starting with entry-level roles like Python Developer or Data Analyst, you will gain valuable experience. As you learn on the job and improve your skills, you can move into higher positions such as Senior Developer, Data Scientist, or Machine Learning Engineer. Python is widely used in industries like software development, data analysis, and AI, which means more job opportunities. With experience, you can also take on leadership roles, work on complex projects, or even start your own tech business. Career growth is steady, especially with continuous learning.
- Python training in Bangalore is popular because the city is a major tech hub with many job opportunities in software development, data science, and artificial intelligence. Python is a versatile and easy-to-learn language, making it perfect for beginners and professionals alike. Bangalore is home to many top IT companies and startups, creating high demand for Python-skilled workers. The courses offer practical, hands-on experience, helping students gain the skills needed for real-world jobs. Additionally, Bangalore has experienced trainers and modern learning facilities, making it an ideal place for anyone looking to build a career in tech.
- Key Roles and Responsibilities:
Course Design
Skill Development
Expert Trainers
Hands-on Practice
Career Guidance
Supportive Environment
Job Assistance
Course Materials
Flexible Timing
Real-World Projects
- After completing a Python course, several industries actively hire Python developers. The IT and Software Development industry is the biggest employer, offering jobs like software developer, web developer, and application developer. The Data Science and Analytics industries also have high demand for Python skills, as companies rely on data analysis and machine learning. Finance and Banking companies use Python for automation and financial analysis. Healthcare is another growing field, with Python being used in medical software development and data management. Additionally, the E-commerce and Automation industries seek Python experts for various roles.
- A Python training in Bangalore certificate is a document that proves youve finished a specific training course. It has your name, the course details, and when you completed it. This Python training in Bangalore certificate shows you have learned new skills or knowledge.
- You May Also Read:
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CURRICULUM & PROJECTS
Python Training Program
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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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Course Duration
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