Best Data Science Course In Nagpur With Placement Guarantee.

Zappcode Academy offers a data science course in Nagpur where you can work on live projects and secure an internship.

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    Overview Of Data Science Course In Nagpur

    Data science has attracted many due to the combination of statistics and programming with domain knowledge. And how long it will take to explore this immense territory? The data science course duration depends on many factors such as personal and professional background and learning speed as well as the pace of study in the selected program.

    Fast Track (Bootcamps: Intermediate (3-6 months): Suitable for people with some programming experience who want a crash course. Courses in data science are time focused and condensed therefore the student has to be fully involved.

    Comprehensive Coverage (Master’s Degrees: 1-2 years): The Master’s degree level is the best choice for those who want to learn data science theory and practice. This path provides a rigid classroom and lab setting and the opportunity to participate in research.

    Benefits Of Choosing Data Science 

    Choosing a career in data science brings several clear benefits, especially when starting with a data science course in Nagpur. Here’s what makes this field a strong choice:

    • Good Job Opportunities: There is a high demand for data scientists, leading to strong job prospects and good salaries.
    • Meaningful Work: You will work on important projects, look at data trends, and make decisions that can impact various fields.
    • Ongoing Learning: The field encourages you to keep learning and stay updated with new tools and methods.
    • Rewarding Challenges: The work involves solving practical problems and helping with key decisions, making the career both engaging and fulfilling.

    Our data science course in Nagpur can set you on a path to a successful and satisfying career in this growing field.

     

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    Why To Choose Our Data Science Course In Nagpur 

    Choosing a career in data science comes with some great benefits. By taking our data science course in Nagpur, you’ll be stepping into a field that’s growing quickly. There’s a high demand for skilled data scientists, which means solid job prospects and good pay. In this career, you’ll get to work on interesting projects, analyze trends, and make decisions based on data that can really make a difference across different industries. Plus, it’s a role that keeps you learning and adapting, so you’re always in touch with the latest tools and methods. With a focus on solving real problems and helping make strategic decisions, a career in data science can be both fulfilling and exciting.

    Explore Our Data Science Course in Nagpur

    Thinking about starting a career in data science? At Zappcode Academy, we’ve got the perfect data science course in Nagpur for you—whether you’re just starting out or already have some experience. Our course takes you through everything, from the basics to advanced data analysis, with plenty of hands-on practice using real-world data.

    Whether you’re aiming to switch careers or upskill, our data science training in Nagpur will give you the tools and knowledge you need to succeed. With a strong focus on practical application, you’ll learn how to tackle real data problems effectively.

    Zappcode Academy is more than just a data science training institute in Nagpur learning can be challenging, and that’s why our instructors are there to guide you step by step. Our data science classes in Nagpur are structured to ensure that each student gets personalised attention, no matter their prior experience. We are a community of learners, where you get the chance to collaborate with like-minded individuals and grow together.

    With the demand for skilled data scientists on the rise, our data science course in Nagpur prepares you for the challenges of the job market. By the end of the course, you’ll be ready to pursue roles in various industries, including IT, finance, healthcare, and more.

    Our data science training in Nagpur also ensures that you’re well-prepared for interviews and real-world tasks, helping you build a strong foundation in data manipulation, visualisation, and machine learning.

    So, if you’re considering enrolling in data science classes in Nagpur, Zappcode Academy is the right place to start. Join us today and take the first step toward a successful career in data science!

    Admission Process and Course Fees

    Enrolling in our data science course in Nagpur is a straightforward process. We want to make sure that joining our academy is as easy as possible for you. You can fill out the application form on our website, and one of our counsellors will reach out to guide you through the next steps.

    The fee for our course is ₹40,000, which includes access to all course materials, project work, and assessments. We also offer flexible payment options to ensure that financial constraints do not stop you from achieving your learning goals.

    If you need any details about the admission process, don’t hesitate to contact us. We’re always available to assist you!

    Meet Our Experienced Trainers

    Our faculty is one of the key reasons why Zappcode Academy stands out as a leading data science training institute in Nagpur. Our trainers bring years of experience in the industry, ensuring that you’re learning from professionals who understand the challenges of working in data science.

    One of our lead trainers, Rashmi Mam, has extensive experience in data science and has worked with various top companies, bringing practical knowledge to the classroom. She’s known for her engaging teaching style, and her goal is to help every student succeed by providing personalized guidance and insights into the latest trends in data science.

    Having an experienced mentor like Rashmi will not only boost your learning but will also give you the confidence to handle complex projects on your own.

    What to Expect from Zappcode Academy’s Data Science Training in Nagpur

    When you join our data science training in Nagpur, you can expect a balanced approach to learning that combines theory with hands-on projects. Our curriculum is designed to cover essential topics like data analysis, machine learning, data visualization, and programming languages like Python. We ensure that you walk out with not just knowledge but the ability to apply what you’ve learned to real-world scenarios.

    Our data science classes in Nagpur also offer a collaborative environment, where you can interact with peers, work on group projects, and exchange ideas. This helps in building not just technical skills but also soft skills like teamwork and communication.

    Career Support and Job Readiness

    At Zappcode Academy, we’re committed to your success even after you’ve completed the course. Our data science course in Nagpur includes career support, helping you with resume building, interview preparation, and job placement.

    We have connections with companies in the IT, finance, and healthcare sectors, which are always looking for skilled data scientists. Our team will assist you in finding the right job opportunities, ensuring that you’re well-prepared to enter the workforce.

    If you’re interested in joining our data science training in Nagpur, Zappcode Academy is ready to support you at every step of your learning journey. Let us help you turn your passion for data into a rewarding career!

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    Highlights of Zappcode Academy

    Limited Students Batch

    Personalised Attention

    Highly Qualified Teachers

    Flexible Batch Timings

    Interactive Learning

    Live Projects

    Career Support

    Job Oriented Training

    Why To Choose Our Data Science Course In Nagpur

    Flexible Learning Options

    Our data science training in Nagpur is tailored for working professionals with flexible learning options like weekend and evening classes. We understand the demands of balancing work and study, so we ensure that our schedule allows you to gain the skills you need without disrupting your current commitments. You can learn at a pace that suits you, while still benefiting from in-person, hands-on training with industry experts, ensuring a focused and interactive experience.

    Develop Practical Skills

    Our data science course is designed to help you develop key practical skills for real-world applications. You’ll learn to work with various data sets, use essential tools for data cleaning and analysis, and apply statistical methods to solve problems. By working on hands-on projects, you’ll build skills in data visualization, machine learning, and effective communication of data insights. This practical experience ensures you are well-prepared to tackle the challenges you’ll face in your data science career.

    Boost Your Employability

    Our data science course can help you stand out in the job market. You'll learn valuable skills that are in high demand, which can lead to great job opportunities. In India, data scientists often start with good salaries, and experienced professionals can earn even more. We also offer support with resume writing and interview preparation to help you land a job. Completing our course gives you the skills and confidence to succeed in the data science field.

    Expert Guidance

    Our data science course in Nagpur is led by instructors who have real-world experience in the field. They explain difficult topics in a way that's easy to follow and are available to help whenever you need it. You'll receive clear guidance and useful feedback to help you improve as you move through the course. With their support, you’ll learn the skills required to succeed in data science, preparing you for the challenges ahead.

    Placement Assistance

    At our data science classes in Nagpur, we don’t just teach; we guide you towards your career goals. With our dedicated placement assistance, we help you create a strong resume, prepare for interviews, and connect you with top companies. Our goal is to ensure you’re job-ready and confident to enter the data science field. Whether you’re looking for your first role or a career shift, we’re here to support your journey to success!

    Affordable Pricing

    We believe that quality education shouldn’t break the bank. That’s why our data science course is priced to be accessible without compromising on value. You’ll receive top-notch training, expert guidance, and real-world project experience, all at a cost that’s easy on your pocket. We also offer flexible payment options, ensuring everyone has the opportunity to learn and grow in the field of data science, no matter their budget.

    Get 100% Job Assistance By Enrolling In Certified Data Science Course In Nagpur

    Job Assistance

    30+ Companies Tie-ups

    Placement Initiative for our Students

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    Zappcode Academy's Job Assistance Program

    Zappcode Academy’s assistance program offers guidance on interview techniques, common questions, and how to effectively showcase your data science skills. We equip our students with the knowledge and confidence needed to succeed in data science interviews and beyond. This support is especially valuable for those seeking a data science course in Nagpur .

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      Our Students Placed and Working with Companies

      ENQUIRY FOR Data Science COURSE FEES

      Data Science Course Curriculam

      Our Curriculum Program Covers Basic To Advance Level Content on Data Science

      Week 1: Introduction to Data Analytics and Excel Basics
      • Introduction to Data Analytics, types of data, data lifecycle
      • Introduction to Excel: Interface, basic functions, and formulas
      • Data entry, formatting, and basic data manipulation
      • Basic formulas and functions (SUM, AVERAGE, COUNT)
      • Working with ranges, cells, and data validation
      Week 2: Advanced Excel
      • Advanced formulas (VLOOKUP, HLOOKUP, INDEX, MATCH)
      • PivotTables and PivotCharts
      • Conditional formatting and data visualization
      • Advanced data analysis (What-If Analysis, Solver)
      • Macros and basic VBA
      Week 3: Introduction to Databases and SQL
      • Introduction to databases, types of databases (relational vs. non-relational)
      • Basics of SQL: SELECT, FROM, WHERE
      • GROUP BY, HAVING, ORDER BY
      • JOINs (INNER, LEFT, RIGHT, FULL)
      • Subqueries and nested queries
      Week 4: Advanced SQL
      • Window functions (ROW_NUMBER, RANK, DENSE_RANK)
      • Common Table Expressions (CTEs)
      • Indexing and performance optimization
      • Data modification (INSERT, UPDATE, DELETE)
      • Working with dates and strings
      Week 5: Introduction to Python
      • Setting up Python environment, basics of Python programming
      • Data types, variables, and basic operations
      • Control structures (for, while, break, continue)
      • Conditional Statements (If, Elif, Else)
      Week 6: List & Sequences
      • List & Arrays
      • Tuple & Sets
      • Dictionaries
      • Comprehensions
      Week 7: Functions & OOPs
      • Defining & Calling Functions, types of functions
      • Lambda, *args & **kwargs
      • Defining classes and creating objects
      • Inheritance and polymorphism
      • Encapsulation & Abstraction
      Week 8: Python for Data Analysis (NumPy and Pandas)
      • Introduction to NumPy: Arrays and basic operations
      • Array manipulation and mathematical functions
      • Introduction to Pandas: DataFrames and Series
      • Data manipulation (filtering, sorting, grouping)
      • Pandas: Merging, joining, and concatenating Data Frames
      Week 9: Data Visualization with Python
      • Introduction to Matplotlib: Basic plots (line, bar, scatter)
      • Customizing plots (labels, titles, legends)
      • Introduction to Seaborn: Statistical plots (boxplot, violin plot)
      • Advanced visualization techniques
      • Plotly: Interactive visualizations
      Week 10: Exploratory Data Analysis (EDA)
      • Understanding the dataset and basic statistics
      • Data cleaning and preprocessing
      • Univariate and bivariate analysis
      • Handling missing values and outliers
      • Data visualization for insights
      Week 11: Introduction to Statistics for Data Analytics
      • Basics of descriptive statistics
      • Probability theory and distributions
      • Hypothesis testing and confidence intervals
      • Correlation and regression analysis
      • Statistical significance and p-values
      Week 12: Business Intelligence (BI) Tools - I
      • Introduction to Power BI
      • Importing Data
      • Data Modeling
      • Creating relationships between tables
      • Explore DAX (Data Analysis Expressions) language
      Week 13: Business Intelligence (BI) Tools – II
      • Data Visualization
      • Customize and format visualizations
      • Data transformation techniques using Power Query Editor
      • Parameters and functions to make your queries dynamic
      • Handling errors and exceptions in data transformations
      • Power BI Service and Sharing
      Week 14: Fundamentals of Machine Learning
      • Introduction to Machine Learning
      • Basic Statistics and Probability
      • Linear Algebra and Calculus
      • Data Preprocessing
      Week 15: Supervised Learning Algorithms
      • Regression Algorithms – Linear regression, Polynomial regression
      • Classification Algorithms – Logistic regression, KNN, SVM
      • Decision Trees and Ensemble Methods – Decision Trees, Random Forest, Gradient Boosting
      Week 16: Unsupervised Learning and Model Evaluation
      • Clustering Algorithms – K-Means clustering, Hierarchical clustering, DBSCAN
      • Dimensionality Reduction
      • Model Evaluation and Selection – Cross-validation techniques, Hyperparameter tuning: Grid Search, Random Search
      Week 17: Advanced Topics and Practical Implementation
      • Introduction to deep learning: Multi-layer Perceptrons (MLP)
      • Overview of frameworks: TensorFlow, Keras, PyTorch
      • Text preprocessing: Tokenization, stemming, lemmatization
      • Time series forecasting
      Week 18: Data Cleaning and Preprocessing Projects
      • Project setup: Identifying a real-world dataset and objectives
      • Data cleaning: Handling missing values and inconsistencies
      • Data transformation: Feature scaling and encoding
      • Exploratory data analysis: Identifying patterns and insights
      • Project review and documentation
      Week 19: Data Visualization Projects
      • Project setup: Identifying a real-world dataset and objectives
      • Data visualization: Creating effective charts and plots
      • Advanced visualization techniques: Interactive and animated plots
      • Building a comprehensive dashboard
      • Project review and documentation
      Week 20: Machine Learning Projects
      • Project Setup and Dataset Identification
      • Data Cleaning
      • Data Transformation
      • Exploratory Data Analysis (EDA)
      • Model Selection and Training
      • Project Review and Documentation
      Week 21: Capstone Project and Presentation
      • Capstone project: Integrating all learned skills
      • Data collection, cleaning, and preprocessing
      • Data analysis, visualization, and modeling
      • Finalizing the project and preparing a presentation
      • Presenting the capstone project and receiving feedback
      Week 22: Git & Github
      • Introduction to Git
      • Basic Git Workflow
      • Branching and Merging
      • Remote Repositories with GitHub
      • Collaboration on GitHub
      • Forking and Pull Requests
      Week 23: Job Readiness Preparation
      • Resume Building: Crafting an effective resume highlighting technical skills
      • Mock Interview Practice: Behavioral and Technical questions
      • Creating a LinkedIn Profile: Optimizing for job search
      Week 24: Professional Networking and Profile Building
      • Networking Strategies: Connecting with professionals in the industry
      • Job Search Strategies: Applying for positions, leveraging LinkedIn
      • Portfolio Development: Showcasing projects on GitHub, LinkedIn
      • Job Ready Preparation: Final review, polishing resume and online profiles

      Download Syllabus Broucher for more details

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      Frequently Asked Questions

      What is data science?

      Data science is one of the mélange fields which involve statistics, computer science, and domain knowledge, to convert all the data into meaningful insights. It has tasks from data collection, getting information ready, modeling, analyzing, and interpretations that help solve today’s problems.

      Where does the data science fall under the career path?

      When we discuss data science, it should be noted that it can be multiple career practices. Various attractive options are available among which data analyst, machine learning engineer, data scientist, business intelligence analyst, and data architect are the most popular. The particular path of the degree relies on one’s interests and specialization.

      If I have a degree in data science, how then will I be able to succeed?

      The point here is that a degree in data science, statistics, computer science, or the one related is not necessarily a requirement. Now, most of the data scientists belong to different disciplines. Nevertheless, a solid foundation encompassing math, statistics, and programming has also been a must, which you can acquire through boot camps, other online courses, or self-study.

      What would be the prospects of data science?

      There will be a very high demand for data scientists in the next few years. For this reason, training data scientists is an extremely important task for educational institutions. The growing massive role of data across industries will mean that the services of data science experts are highly in demand, and these professionals are likely to experience enhanced career prospects.

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