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Join the Best Python Course in Kolkata to Master Programming with Hands-On Training and Real-Time Projects
4.2/5
4.8/5
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4.5/5Course Duration
32 Hrs.Live Project
2 ProjectCertification Pass
GuaranteedTraining Format
Live Online /Self-Paced/ClassroomWatch Live Classes
Speciality
200+
Professionals Trained
3+
Batches every month
20+
Countries & Counting
100+
Corporate Served- Python training instructs students how to run and create Python code. It starts with fundamental elements including variables, loops, and functions. Moreover, addressed are significant issues like data structures and file management. Students work on little projects to use their abilities. Many classes contain actual-world examples. Trainers at the Python Course in Kolkata lead pupils through practical coding projects. Python instruction helps people prepare for jobs in technology. It also advances career advancement in web development and data science. Anyone can learn Python with practice.
Python Course in Kolkata
- Croma Campus plans its training programs to satisfy corporate criteria. The programs seek to develop solid technical ability and enable students advance professionally. Every program guarantees pragmatic knowledge by combining theory with real-world projects.
Skill Development: Croma Campus aims on creating foundational and advanced competencies. The training assists pupils comprehend industry tools, frameworks, and technologies. Teachers led kids via assignments and activities and thoroughly explain every topic.
Industry-Relevant Curriculum: The material of the course fits the demands of the market. Based on the most recent trends and instruments, instructors continuously modify the course syllabus. This strategy gets students ready for real-time problems at work and keeps them abreast of the latest.
Hands-On Learning: Live projects and lab sessions are included in every course. Students learning from the Python Training in Kolkata utilize their knowledge in actual situations. They undertake projects that align with industry procedures. This approach increases confidence and develops career-ready knowledge.
Certification Preparation: Croma Campus helps students to get worthwhile certifications. Trainers help students get ready via mock tests and grasp exam patterns. Certification boosts credibility and creates more employment possibilities.
Career Support: Help in resume development and interview preparation is included in the training. Experts help pupils plan their careers. The aim is to assist students in field advancement and landing better jobs.
- Entry-level salaries for freshers in India will vary depending on industry and region. Yearly offers from startups vary between 2.5 lakh and 4 lakh. Generally, IT service firms pay annually between 3 lakh and 5 lakh. Financial or analytics roles have potential to earn 4 lakh to 6 lakh. Freshers in product-based tech companies might make 6 lakh to 8 lakh per year. Salary proposals can rise with training programs or certifications. Consider joining the Python Classes in Kolkata for the best guidance and opportunities. Higher packages are frequently awarded to top-tier universities. Better remuneration is available in cities like Delhi, Mumbai, and Bangalore. Before establishing salary expectations, applicants should look into businesses and jobs.
- Students can investigate more job opportunities in their field following the course. Learning from the Python Training institute in Kolkata teaches students the abilities sought after by companies. Many begin in entry-level jobs then advance to mid-level positions with experience. They labour on larger projects and manage more duties. Some eventually develop into project leaders or team leaders. Certifications help in advancing in promotions. Additionally, it gives one the confidence to apply for high-level firms' jobs. Students have the option of changing fields or seeking freelance employment. Many still learn to keep current. Growth results from performance, learning, and efficient application of the training in real jobs.
- Python certification provides many job possibilities in the tech sector. The course establishes a solid basis in programming. It also imparts useful abilities that enable candidates to use their information in actual employment. Given the right training and experience, students can investigate several job options.
Python Developer: Python developers abound among certified learners. They work on backend systems, test applications, and write code. Using Python tools and libraries, they also maintain and update current software.
Data Analyst: Python is rather important in data analysis. Python is used by certified candidates to gather, clean, and view data. To get insights from big datasets, they use tools like Pandas, NumPy, and Matplotlib.
Web Developer: Python skills also help web development. Students can use frameworks such as Django or Flask. They link web apps to databases, manage server-side logic, and create websites.
Machine Learning Engineer: Some students advance into machine learning. They use Python to solve real problems, implement algorithms, and train models. They draw inspiration for their projects from libraries such Scikit-learn, TensorFlow, or Keras.
Automation Tester: Python also supports automation testing. To verify program performance, testers write scripts. Faster, consistent, and correct testing methods are developed using Python.
- Because it teaches a language that is simple to learn, Python training is rather well-known. Its straightforward architecture and clear syntax appeal to many. In web development, data science, and automation, developers employ Python. For several positions, businesses need Python skills. Beginners may begin coding swiftly thanks to training. Furthermore, training from the Python Training institute in Kolkata helps specialists wishing to move between disciplines. Other tools and systems get along well with Python. Real initiatives designed to develop self-assurance make up training. Learning is made adaptable by online and offline possibilities. Python also has a robust community. This keeps students informed and capable of problem solving. Many people choose Python training for these reasons.
- With its adaptability and extensive libraries, Python helps several sectors. Its basic syntax makes it a popular choice across sectors. Students trained from the Python Classes in Kolkata are ready for a broad spectrum of job possibilities in technical as well as non-technical disciplines thanks to Python education.
Information Technology: In the IT industry, Python developers are sought after. Automation, system scripting, and web development use Python. Businesses need Python experts to create and maintain scalable apps.
Data Science and Analytics: Python is essential to data science. It helps data scientists and analysts handle huge datasets. Libraries like Pandas, NumPy, and Matplotlib help them to produce reports and dashboards as well.
Finance and Banking: For data modelling, fraud detection, and risk analysis, banks and financial firms use Python. Python helps to build automatic systems that reduce errors and improve decision-making.
Healthcare and Bioinformatics: For medical studies, patient monitoring, and data analysis, Python finds application in research facilities and hospitals. Python supports machine learning models projecting patient outcomes and disorders.
E-Commerce and Retail: Retail firms use Python to monitor inventory, analyse customer behaviour, and enhance suggestions. Backend systems managing orders and payments find support from Python tools.
Education and EdTech: Python is used by edtech companies to create learning systems. They track student development and design customized learning pathways as well.
- A training certificate proves you finished a course and picked up the necessary skills. It shows your expertise in a certain field. Companies value certificates during hiring. Your resume gains strength from it. A training certificate shows your devotion to learning and helps to establish trust. Additionally, learning from Python Training in Kolkata assists you in applying for better positions. Certain certificates get you ready for worldwide examinations. Trainers offer these certificates following projects or assessments. Job portals or with recruiters allow you to share them. Furthermore, elevating your confidence is a certificate. It demonstrates your readiness for actual employment. Many students find it to be useful in changing jobs.
- For students, a Python training certificate from the Python Course in Kolkata offers numerous benefits. It demonstrates your finished learning and real coding practice. Furthermore, it strengthens your trust with employers and fosters your professional development.
Career Advancement: Your employment chances are improved by a certificate. Employers view it as evidence of your capabilities. It makes you stand out in job applications. It also opens possibilities for more lucrative positions in the tech sector. Therefore, joining the Python Training institute in Kolkata significantly improves careers.
Skill Validation: The certificate validates your competence with Python libraries and tools. It proves your data management, basic coding skills, and actual problem-solving ability.
Higher Earning Potential: Certified professionals' compensation is frequently higher. Proven abilities command additional money. Python is in demand, and a certificate helps you negotiate a better salary.
Domain Flexibility: Among several domains employing Python are artificial intelligence, web development, automation, and data science. The certificate makes it easier for you to move between these disciplines. It also gives you a chance to look at freelancing or remote work.
Confidence and Recognition: The certificate gained from the Python Classes in Kolkata increases your self-assurance. It indicates that you finished tests, projects, and assignments. It also gets you peer and recruiter recognition. Many use it to display their Python development.
- Croma Campus has a precise and organized placement strategy. The aim is to enable students to use their knowledge and land elite jobs. From resume preparation to interview readiness, the team offers complete support. Every stage in the process fosters self-assurance and professional preparedness.
- This placement approach benefits kids of all levels. It allows them to smoothly move from study into employment in the technology field.
Resume Building: The placement team helps students to develop excellent resumes. They help to emphasize important abilities, initiatives, and certifications. Recruiters are drawn to a strong resume.
Mock Interviews: Croma Campus carries out mock interviews with experienced mentors. These classes help kids develop technical answers and communication skills. The comments get them ready for actual interviews.
Soft Skills Training: The team teaches kids soft skills including clarity of speech, body language, and cooperation. These abilities enable HR rounds pupils to excel.
Job Notifications: Regular updates on job opportunities are sent to students. The placement team fits profiles with the needs of businesses. Moreover, they disclose information about locations and jobs.
Final Interview Rounds: The institute coordinates interviews with employers. Technical and HR rounds are attended by students. This approach chooses several students.
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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
32 Hrs.
Weekday1 Hr/Day
Weekend2 Hr/Day
Training ModeClassroom/Online
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06-Sep-2025*
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03-Sep-2025*
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06-Sep-2025*
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08-Sep-2025*
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03-Sep-2025*
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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.
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