Best Data Science Course In Nagpur With Placement Support.

Are you looking for the Best Data Science course in Nagpur? Our academy offers complete Data Science training program designed for beginners and professionals. Learn from industry experts and gain hands-on experience with real-world projects.

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    Overview

    In today’s digital world, data is often discussed to as the “new fuel.” As raw data alone holds little value—it’s the process of mining insights from data that makes it powerful. This is where Data Science comes in.

    Data Science is a collaborative field that combines statistics, mathematics, programming, and domain expertise to analyze and interpret complex data. It helps businesses and researchers uncover patterns, make data-driven decisions, and even predict future trends using techniques like machine learning and artificial intelligence.

    From recommendation systems on Netflix to fraud detection in banking, Data Science is transforming industries worldwide. Whether you’re a beginner or an experienced professional, learning Data Science opens up exciting career opportunities and prepares you with skills to solve real-world problems using data

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    Why To Choose Our  Course ?

    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 

    Thinking about starting a career in data science? At Zappcode Academy, we’ve got the perfect course 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 DS class 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.

    We are more than just a data science training institute, learning can be challenging, and that’s why our instructors are there to guide you step by step. Our classes  are structure 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.

    As the demand for skilled data scientists is on the rise, our course  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 training  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, we are the right place to start. Join us today and take the first step toward a successful career!

    Admission Process and Course Fees

    Enrolling in ourcourse in Nagpur is a very simple 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 ranges from 30,000 to 45,000/- 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 we 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 DS.

    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 Ma’am will not only boost your learning but will also give you the confidence to handle complex projects on your own.

    What to Expect from Our DS Training?

    When you join our data science training, 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 classes 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 course 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 classes, we are 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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    Key Features Of Our Course

    Limited Students Batch

    Personalised Attention

    Highly Qualified Teachers

    Flexible Batch Timings

    Interactive Learning

    Live Projects

    Career Support

    Job Oriented Training

    Why To Choose Our DS Course?

    Flexible Learning Options

    Our training is planned for working professionals with flexible weekend and evening classes. Learn at your own speed without affecting your job, with hands-on training from industry experts for a practical learning experience.

    Develop Practical Skills

    Our course helps you learn practical skills for real-world use. You'll learn data cleaning, analysis, and statistical methods while working on hands-on projects. Build expertise in data visualization, machine learning, and presenting insights to prepare for a successful career.

    Boost Your Employability

    This Course will help you to stand out in the job market with in-demand skills. Beginners start with good salaries, and experienced professionals earn even more. We also provide resume and interview support to lift your job chances and career growth.

    Expert Guidance

    We have experienced instructors who simplify complex topics. They provide clear guidance, helpful feedback, and continuous support to help you build the skills needed for a successful data science career.

    Placement Assistance

    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.

    Affordable Pricing

    We believe that quality education shouldn’t break the bank. That’s why our course is priced to be accessible without compromising on value. We also offer flexible payment options, ensuring everyone has the opportunity to learn and grow.

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

    Job Assistance

    30+ Companies Tie-ups

    Placement Initiative for our Students

    python classes in nagpur

    Our Job Assistance Program

    Our job 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. 

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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 Topic 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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