Data Science Course Features



Live Virtual

Instructor Led Live Online


  • IABAC® & DMC Certification
  • 6-Month | 400 Learning Hours
  • 120-Hour Live Online Training
  • 25 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring


  • Self Learning + Live Mentoring
  • IABAC® & DMC Certification
  • 1 Year Access To Elearning
  • 25 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Leaner assistance and support


In - Person Classroom Training


  • IABAC® & DMC Certification
  • 6-Month | 400 Learning Hours
  • 64-Hour Classroom Sessions
  • 25 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance


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Data Science Certifications

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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Why DataMites Infographic


  • Introduction to Data Science
  • Industry applications
  • Terminologies
  • Anaconda - Python distribution Installation and setup
  • Jupyter Notebook
  • Python Basics
  • Data structures
  • Control statements
  • R Installation and Setup
  • R Studio Basics
  • R Data Structures
  • Control Statements
  • Data Science Packages
  • Essential mathematics
  • Linear algebra
  • Linear Transformation
  • Types of Matrices
  • Matrix properties and Operations
  • Probability and Calculus
  • Statistics Introduction
  • Terminologies
  • Inferential Statistics
  • Harnessing Data
  • Exploratory Analysis
  • Distributions
  • Central Limit Theorem
  • Hypothesis Testing
  • Correlation and Regression
  • Numpy Array functions
  • Data munging with Pandas
  • Imputation
  • Outlier analysis
  • Visualization basics
  • Matplotlib Introduction
  • Basic plots
  • Customizing plots
  • Sub-plots
  • Statistical Plots
  • Seaborn package introduction
  • Machine Learning Introduction
  • ML core concepts
  • Unsupervised and Supervised Learning
  • Clustering with K-Means
  • Linear Regression
  • Logistic Regression
  • K-nearest Neighbor
  • Bayes Theorem
  • Naïve Bayes Algorithm for text classification
  • Decision Tree
  • Ensemble methods: Random Forest
  • Extra Trees
  • SVM
  • Boosting Techniques
  • Artificial Neural Network
  • Adv Metrics
  • Imbalanced Dataset
  • Grid search
  • K-fold Cross validation
  • Relational Database Management Systems basics
  • SQL Introduction
  • Connection to SQL databases
  • Fetching data with SELECT, WHERE condition, SQL JOINs, SQL CRUD operations
  • Deep Learning Introduction
  • TensorFlow and Keras
  • Convolution Neural Network basics
  • End to End image classification of cats and dogs using TensorFlow-Keras platform
  • Visual Analytics basics
  • Tableau Introduction
  • Connecting to data source
  • Dimensions vs. Measures
  • Basic plots, compound plots, forecasting, publishing
  • ML Deployment Strategies
  • Flask introduction
  • Packing training ML model
  • Deploying it on Flask as API
  • Introduction to Big Data
  • Hadoop Concepts
  • Spark Big Data for Data Science Processing
  • Handling Big Data in Machine Learning Pipeline
  • Data Science Project Management method
  • Business Case
  • Risk and Limitation of Machine Learning
  • Project Pit falls




DataMites is a global institute for data science in Nagpur which gives specialized coaching in various fields such as Data Science, Machine Learning, Deep Learning, Artificial Intelligence, the Internet of Things and Python Learning. We render higher knowledge achievement in the Data Science and Machine Learning domain in a cost-effective manner. The real-time training is highly qualitative for those who wish to enhance their knowledge on these subjects. The main goal of Datamites is to mould professionals who can bravely withstand the complexities of the analytical field. Indeed having a deep understanding of the new technologies can be rewarding in more ways than known.

“Data will talk if you are willing to listen to it.”

     - Jim Bergeson

DataMites is a global institute for data science in Nagpur which gives specialized coaching in various fields such as Data Science, Machine Learning, Deep Learning, Artificial Intelligence, the Internet of Things and Python Learning. We render higher knowledge achievement in the Data Science and Machine Learning domain in a cost-effective manner. The real-time training is highly qualitative for those who wish to enhance their knowledge on these subjects. The main goal of Datamites is to mould professionals who can bravely withstand the complexities of the analytical field. Indeed having a deep understanding of the new technologies can be rewarding in more ways than known.

Data is everywhere and a proof to the report by the World Economic Forum revealing that the number of bytes in the digital universe was 40 times bigger than the number of stars in the observable universe in 2020!

Data science transforms how decisions are made and companies are remodeling a data-driven approach on a huge scale. Data-driven decisions propitious every businesses from global behemoths to medium-sized companies down to local businesses looking to move forward. Data is present in insanely large – elephantine of it is collected every single second, and now understands its perspectives and the influences it can have. Data sets in the right hands can help foresee and shape the future.

We provide 6 monthly Data Science Courses in Nagpur within a three-phase learning method. 

Phase 1 = It’s time to get prepared for the course to come, candidates would be provided with self-study videos and books of high quality to enable an excellent grasp of the curriculum as a whole.

Phase 2 = The primary stage of Live Intensive training along with hands-on capstone projects and after the training, you will receive IABAC Data Science Certification, a global certification. 

Phase 3 = Projects, Internships and Job ready Program.

Courses we offer in Data Science:

    1.Data Science Foundation - The Data Science Foundation course is a beginner’s course specifically designed to let the freshers kick off their career in Data Science. The course introduces Data Science, Data Science vs Business Analytics vs Big Data, Various Classifications of Business Analytics, Data Science Project Workflow, Roles in Data Science and Industry applications of Data Science.

    2.Certified Data Scientist: The Certification Data Scientist course offers a wide-ranging idea of Data Science to those interested to dive into the Data Science domain. Our CDS Training is for 6 Months. DataMites has trained over 25,000 learners with the aid of our 50+ elite and professional faculties

The course is a complete pack with detailed learning of 15 courses:

      *  Data Science Foundation

       *  Python Essentials for Data Science

       * R Language Essentials

       * Math for Data Science

       * Statistics for Data Science

       * Data Preparation with Pandas 

       * Visualization with Python

       * Machine Learning Associate

       * Advanced Machine Learning

       * SQL for Data Science

       * Deep Learning – CNN Foundation

       * Tableau Associate 

       * ML Model Deploy - Flask API

       * Big Data Foundation

       * Data Science Project Execution        

        Data Science Foundation - Introduction to Data Science, Industry applications, Terminologies

Python Essentials for Data Science - Anaconda - Python distribution Installation and setup. Jupyter Notebook, Python Basics, Data structures, control statements. 

R Language Essentials - R Installation and Setup, R Studio Basics, R Data Structures, Control Statements, Data Science Packages.

Maths for Data Science - Essential mathematics, Linear algebra, Linear Transformation, Types of Matrices, Matrix properties and Operations, Probability and Calculus. 

Statistics for Data Science - Run Down of Statistics, Terminologies, Inferential Statistics, Harnessing Data, Exploratory Analysis, Distributions, Central Limit Theorem, Hypothesis Testing, Correlation and Regression. 

Data Preparation with Pandas - Numpy Array functions, Data munging with Pandas, imputation, outlier analysis.

Visualization with Python - Basics of Visualization, Matplotlib Introduction, Basic plots, customizing plots, Sub-plots, Statistical Plots, Seaborn package introduction.

Machine Learning Associate - Machine Learning Introduction, ML core concepts, Unsupervised and Supervised Learning, Clustering with K-Means, Linear Regression, Logistic Regression, K-nearest Neighbor.

Advanced Machine Learning - Bayes Theorem, Naïve Bayes Algorithm for text classification, Decision Tree, Ensemble methods: Random Forest, Extra Trees, SVM, Boosting Techniques, xgboost, Artificial Neural Network, Adv Metrics, Imbalanced Dataset, Grid search, K-fold Cross-validation

SQL for Data Science - Relational Database Management Systems basics, SQL Introduction, Connection to SQL databases, Fetching data with SELECT, WHERE condition, SQL JOINs, SQL CRUD operations. 

Deep Learning - CNN Foundation - Deep Learning Introduction, TensorFlow and Keras, Convolution Neural Network basics, End to End image classification of cats and dogs using TensorFlow-Keras platform.

Tableau Associate - Visual Analytics basics, Tableau Introduction, Connecting to the data source, dimensions vs measures, basic plots, compound plots, forecasting, publishing. 

ML Model Deploy - Flask API- ML Deployment Strategies, Flask introduction, Packing training ML model, Deploying it on Flask as API.

Big Data Foundation - Introduction to Big Data, Hadoop Concepts, Spark Big Data for Data Science Processing. Handling Big Data in Machine Learning Pipeline. 

Data Science Project Execution - Data Science Project Management method, Business Case, Risk and Limitation of Machine Learning, Project Pitfalls.

  • Data Science Specialization Courses

Data Science for Managers is a significant program offered by DataMites specifically designed for those in managerial positions about the copious tools and techniques used to derive legitimate insights . A 2 week program imparting significant knowledge on Data Science Foundation, Statistics for Data Science, Building and Optimising Courses, Predictive Analysis and Regression, Decision Coursing and Visual Analytics and Tableau. Data Science knowledge and skills are quintessential for Managers of every organization, in effectively and efficiently making data-driven decisions.

Data Science for Finance - Investing in data science within finance includes a wide range of career opportunities. Areas with a technology focus include cyber security, data science, machine learning, and AI, among many others. Roles that necessitates financial or investment expertise are namely blockchain development and quantitative investing.

Data Science for Operations - Through data science, we can collect useful information and uncover insights that can be used to understand an organization's business and make data-driven decisions.

Data Science for Marketing - Data science is largely enforced in marketing areas like profiling, search engine optimization, responsiveness, customer engagement as well as real-time marketing campaigns. Furthermore, new ways to employ data science and analytics in marketing pop up every day.

Data Science for Finance - Data science within finance encloses an extensive variety of opportunities for investment careers. Data Science enables better risk management and risk analysis. Better analysis can contribute to superior decisions which would shoot up the profit for financial institutions. 

Data Science for HR - Having a data science professional in the HR team can render the organization with insights for soundly managing employees so that business goals can be reached steadily and expeditiously. Data science is a radical method that enables companies to quantitatively monitor the expenses, the result of candidate engagement projects and to analyse the cost-effectiveness of different HR activities. 

Data Science with R - 2 month training giving comprehensive training on R, python, statistics, Machine learning algorithms, Business Aspects and Tableau. DataMites Data Science with R training, lets you master data manipulation with R Programming, data visualization, advanced analytics topics like regression and data mining using RStudio. 

Statistics for Data Science - Statistics is used to process complex problems in the real world so that Data Scientists and Analysts can search for meaningful trends and changes in Data. In simple words, Statistics can be employed  to gather meaningful insights from data by performing mathematical computations on it. 

Python for Data Science -  Python being one of the best languages used by data scientists for various data science projects/applications supplies great functionality to deal with mathematics, statistics and scientific function. Our syllabus encompasses introduction to data science with Python, Python Basics, Numpy Package, Pandas Package, Python Advanced: Data Munging with Pandas, Python Advanced: Visualization with MatPlotLib, Exploratory Data Analysis: Data Cleaning, Data Wrangling Exploratory Data Analysis: Case Study.

Datamites offers flexible learning options starting from Live Online Training, Exclusive Data Science Classroom Training on demand and/or Exceptional Recorded Sessions. As per a LinkedIn report, data science prevails to dominate its arising job rankings with a massive 37% growth in the last three years.

DataMites Data Science course fee ranges from 88,000 INR to 12,000 INR as per your preferred choice of learning. You can always check in on your desired course and find out the course fee for the same.

DataMites Highlights:

  • Global Recognition - IABAC Accreditation

  • Expert Training - Elite Faculty with relevant research and coaching experience

  • Comprehensive Training 

  • Real-time Projects and Internships

  • 100% Job Ready Assistance

Nagpur is a large city in the central Indian state of Maharashtra. Oxford's Economics report states Nagpur as the fifth fastest growing city in the world from 2019 to 2035 with an average growth of 8.41%. Also called the ‘Orange City’, Nagpur is blessed with the title of being the ‘Cleanest City’ and the second ‘Greenest City of India’. In recent years Nagpur has come to house IT Companies and the city is on the verge of being a Technology hub of India.

As per Raconteur, over 463 ZB of data will be created every day by 2025. 

Data Science Courses in Nagpur are the springboards to be at the higher tier IT systems in the city; Becoming a Data Scientist was never this easy? Join Data Science Training in Nagpur and Get yourself upskilled for a flourishing career path!

Did You Know?

The Average Data Scientist Salary in India is INR 8,24,972 per annum. Average Data Scientist Salary in Nagpur as reported by Indeed.com - INR 6,41,102 annually. Data Science Certification in Nagpur can help in radically making headway in the data science domain!



Data can be vast and distorted and converted into valuable information. Data science entails mining large datasets consisting of structured and unstructured data and identifying hidden patterns to extract actionable insights.

  • Data is nothing without science

  • Better customer experience

  • Increase job opportunities

  • Rising salary for data science professionals

  • You will have many job titles to choose from

  • You will play a pivotal part in decision making in the company

Anyone, whether a newcomer or a professional, interested in learning Data Science can opt for it. Engineers, marketing professionals, software and IT professionals can go after part-time or external programs in data science. Basic high school level subjects are the minimum requirement for regular data science courses.

Data science course fees will vary according to the level of training you are looking for. However, when we discuss the fee structure, whether you choose any training provider for your classroom training for Data Science, it ranges from INR 30,000 to INR 1,00,000.

  • Data scientist

  • Machine learning engineer

  • Machine-learning scientist

  • Application architect

  • Data architect

  • Data engineer

  • Statistician

  • Data Analyst

  • Business intelligence analyst

  • Marketing analyst

Skills such as data analysis, statistical knowledge, data storytelling, communication and problem-solving will be beneficial for learning data science

Knowledge of Python, R, Excel, C++, Java and SQL is always preferred. But you can always learn from the fundamentals and improve yourself.

Like any other field, with proper guidance Data Science can become an easy field to learn, and one can make a career in this field. However, since it is huge, it is easy for beginners to get lost and lose sight, making the learning experience difficult and frustrating.


Some of the major Data Science Tools include; SAS, Apache Hadoop, Tableau, BigML, BigML, Knime, RapidMiner, Excel, Apache Flink, Power BI.

According to IDC, global data will increase to 175 zettabytes by 2025. Data Science facilitates companies to productively comprehend and maneuver vast data from multiple sources and obtain worthy insights to make better data-driven decisions. Data Science is profusely used in countless industry domains like marketing, healthcare, finance, banking and policy work to name a few. The significance of data science is henceforth evident.

Yes, companies hire freshers for Data Scientist posts. Indeed, most entry-level analytics jobs in India do not call for any specialization or post-graduation. The only qualification you need in these companies is an engineering degree and even the stream doesn't matter. These companies only look for your Aptitude, Communication Skills and Critical Reasoning.


According to Glassdoor: The average salary of Data Scientists in Nagpur is 15,41,229 INR per annum.

Highest Data Scientist Salary in Nagpur - 22,29,102 INR per annum.

Lowest Data Scientist Salary in Nagpur - 8,11,182 INR per annum.

Data Science is wide-ranging and its applications are infinite. Companies all over the world are searching for data science professionals who can be an asset to their companies. Data science certifications can be valuable for your career ahead in this technology-driven world.

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66% of data scientists proclaimed in 2018 that they used Python every single day, making Python the number one language for data science. To successfully undertake data science work, having knowledge and expertise in Python or any other programming language is mandatory.


Yes, statistics is the soul of data science and is indispensable for achieving any machine learning algorithm. Statistics make it easy to operate on data. Various statistical techniques like classification, regression, hypothesis testing, time series analysis are used to build data models. With the help of statistics, a data scientist can gain better insights, which enables the decision-making process to be streamlined effectively.

The duration of the Data Science course in Nagpur is 6 months, totalling 120 hours of training. Training sessions are imparted on weekdays and weekends. You can choose any as per your availability.

Data Science is a highly sought after field of study that assures highly lucrative salary packages. Aspirants can enrol at Datamites for Data Science Course in Nagpur, we provide in-depth training for your further career.


No, a PG degree is not necessary but having prior knowledge of Mathematics, Statistics, Economics or Computer Science can be highly beneficial.


Being the IT hub of India, Nagpur has an assortment of opportunities for both freshers and experienced. Data Science certification can only help you in myriad ways.

A certified data scientist is a person who has acquired complete knowledge of the data science domain. The CDS course is specially designed for those who wish to enter the Data Science domain - fresh and with the best skills and guidance to succeed in the domain.

CDS course is designed for data science freshers who want to mark their grades and conquer the world of Data Science.

DataMites offers Data Science Foundation, Data Science for Managers, Data Science Associate, Diploma in Data Science, Python for Data Science, Statistics for Data Science, Data Science Marketing, Data Science Operations, Data Science Retail, Data Science for HR, Data Science with Finance and Data Science.

  • Datamites™ is the global institute for data science accredited by the International Association of Business Analytics Certification (IABAC).

  • We have more than 25,000 students enrolled in the courses we offer.

  • We provide a three-step learning method. In Phase 1, self-study videos and books will be provided to the candidates to help them get adequate knowledge about the syllabus. Phase 2 is the primary phase of intensive live online training. And in the third phase, we will release the projects and placements.

  • The entire training includes real-world projects and highly valuable case studies.

  • After the training, you will receive the IABAC certification which is a global certification.

  • After completing your training, you will get the chance to do an internship with AI company Rubix, a global technology company.


The fees for the Data Science course will range from Rs.6000 to Rs.88,000 depending on the course and mode of training you choose.


We offer you flexible learning options ranging from live online, self-learning methods to classroom training. You can choose as per your liking. 


At present DataMites offers only online training in Nagpur. But we are on board to conduct classroom training ON-DEMAND by the candidates and by checking the number of demands for the same.

We are determined to provide you with trainers who are certified and highly qualified with decades of experience in the industry and well versed in the subject matter.

Our Flexi-Pass for Data Science training will allow you to attend sessions from Datamites for a period of 3 months related to any query or revision you wish to clear.

We will issue you an IABAC® certification that provides global recognition of relevant skills.


Yes. Photo ID proofs like a National ID card, Driving license etc. are needed for issuing the participation certificate and booking the certification exam as required.


You don't need to worry about it. Just get in touch with your instructors regarding the same and schedule a class as per your schedule.

In the case of online training, each session will be recorded and uploaded so that you can easily learn what you missed at your own pace and comfort.

Yes, a free demo class will be provided to you to give you a brief idea of ??how the training will be done and what will be involved in the training.


Yes, we have a dedicated Placement Assistance Team (PAT) who will provide you with placement facilities after the completion of the course.


Learning Through Case Study Approach

Theory → Hands-on → Case Study → Project → Model Deployment


Yes, of course, it is important that you make the most of your training sessions. You can of course ask for a support session if you need any further clarification.

We accept payment through;

  • Cash

  • Net Banking

  • Check

  • Debit Card

  • Credit Card

  • PayPal

  • Visa

  • Master card

  • American Express


Of course, after your course is completed, we will issue you a Course Completion Certificate.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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