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  • 3-Month Course
  • 5 Capstone & 1 Client Project
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  • Self Learning + Live Mentoring
  • IABAC®  Global Certification
  • 1 Year Access To Elearning
  • 5 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

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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


  • Programming Basics
  • Python Data Types
  • Structures and conditional statements
  • Python core packages
  • Introduction to Jupyter Notebook
  • Data Science Introduction
  • Data Science work flow
  • Machine Learning Overview
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Overview NumPy
  • NumPy Arrays
  • Selecting and Slicing
  • Boolean Indexing
  • Array advanced operations
  • NumPy Key Methods
  • Overview Pandas
  • Loading data from external sources
  • Access Data from DataFrame
  • Pandas Key Methods
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data





Data mining is the process of finding information for future predictions by analyzing big sets of data. Data mining is a hectic task for Data Science and it takes a diverse set of skills and knowledge to use row data and use it for valid insights.

Data Mining with Python covers all the theories and provides practical exposures that help you grasp the subject and become an expert in this domain. Data Mining is a fast-growing domain as we are generating a lot of data every day. There are many opportunities for people with in-depth knowledge of data mining.


Python is the most popular programming language for Data Science as of Today. Python is a powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms. In recent years, Python has evolved immensely with respect to the Data Science sphere, with a huge community around Python creating quite a few power data science and analytics packages such as Pandas, Numpy, Scikit Learn, Scipy and more. As a result, analyzing data, modeling machine learning algorithms with Python has never been easier.

This course "Data Mining with Python", is designed for candidates with or without programming skills, with basics of Data importing and Data mugging along with effective programming techniques. This also includes Python Data Science challenges kit, enabling the candidates to not only understand Python core concepts but also gain practical mastery over Data Mining with Python, which is very much in demand in Today's Data Science job opportunities.

The objective of this course is to provide the fundamentals of Python programming and introduce Data Science concepts and Machine Learning.


  • Python Fundamentals : Understanding Python syntax, data types, operators, conditional statements, functions. Writing simple Python scripts for Data Science
  • Data Science essentials: Understand the core concepts of Data Science. Data exploration, data mugging, data pre-processing and transforming Data for further analysis. Gain familiarity with Python packages Numpy and Pandas
  • Python for Machine Learning(ML): Understand core concepts of Machine Learning and practice simple ML algorithms using Python package Scikit Learn

This course is at beginner level, so most Data Science aspirants can opt for Data Mining with Python


  • Basic Programming is recommended
  • Basic Statistics knowledge is recommended

Python is the most popular programming language in Machine Learning and Deep Learning algorithms as on Today. A quick search in reveals about 50,000 open job opportunities in the USA alone as a day average in the year 2017 for Python professionals. This trend is only going to increase exponentially in the year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.

This course is designed to imbibe the best practice programming skills in Data Mining with Python with real-world Machine Learning case studies. Candidates pursuing this course will be aligned with the current market job requirements.

Any professional aspiring to become a Data Scientist can start from this course.


  • Candidates wanted to pursue Data Science career, with basic or no programming skills
  • Seasoned conventional programmer aiming to gain basic machine learning coding skills
  • Job seekers, pursuing a career as Data Science Developer
  • Professionals, whose job involves Data Science and Python.

In recent years, Python gained popularity as the preferred language for Machine Learning and Deep Learning. This course provides the advantage of cutting complexity of Python Language and focuses on learning Data Mining with Python in the most efficient and effective manner to become a Python Data Science developer.

At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.

DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.


  • PASSIONATE: We are passionate in enabling professionals with best practice Data Science skills
  • ACCREDITED: DataMites™ is accredited with "International Association of Bussiness Analytics Certifications (IABAC™)", aligning the syllabus with global market requirements
  • HANDS ON PROJECTS : On course completion, worthy candidates are involved in consulting assignments at building block levels to provide real-time exposure, thus supporting them to gain confidence to work in real world Data Science projects
  • JOB ASSISTANCE: A dedicated team , Placement Assistance Team (PAT), is tasked to assist candidates in preparing for the first Data Science job and mapping the job requirements to individual candidate profile.
  • FLEXIBLE LEARNING: DataMites™ provides flexible learning options from traditional classroom to Virtual classroom, Instructor led online and self learning.
  • LIBRARY: A Data Science library with collection of valuable Data Science books and publications, assisted check-in/check-out options.
  • DATA SCIENCE LAB: Access to Cloud Data Science lab with popular platforms, R, Python, Tensorflow etc.,
  • FRIENDLY STAFF: A friendly staff and dedicated counsellor, who are trained to guide you in your career ambitions.
  • RE

Python programming is a widely used programming language for developing websites, applications, managing operations, and conducting data analysis.

Python was created by Guido van Rossum in 1991, and it was further developed by the Python Software Foundation. Python's design emphasizes code readability and expressiveness with fewer lines of code.

Python serves as a versatile language with a general-purpose nature, enabling the development of a wide range of applications without specialization.

Python's popularity stems from its high productivity compared to languages like C++ and Java. It offers a faster and more convenient programming syntax, code readability, and a rich set of libraries.

Python is widely regarded as one of the easiest programming languages to learn, although mastering it requires practice and patience.

Python is known for its ease of understanding, learning, and writing. It enhances productivity, supports dynamic typing and interpretation, is open-source and free, and provides extensive library support. However, it may be relatively slower in speed compared to some other languages.

Data mining is the process of extracting valuable insights and patterns from large datasets. It involves analyzing data from multiple sources to discover hidden relationships, trends, and patterns that can be used for decision-making and predictive modeling.

Python is widely used in data mining due to its extensive libraries and tools specifically designed for data analysis. Python provides powerful frameworks like Pandas, NumPy, and Scikit-learn that simplify data manipulation, preprocessing, and modeling tasks, making it a popular choice for data mining projects.

Python is utilized by professionals in various roles, including web developers, Python developers, software engineers, data analysts, data scientists, and machine learning engineers.

Python courses are suitable for anyone, including individuals with no prior experience, such as freshers. Python can be learned and mastered without technical or programming knowledge.

The fees for Python courses vary based on the level of training. Classroom training fees for Python typically range from 200 USD to 1000 USD.

Skills such as data analysis, statistical knowledge, data storytelling, communication, and problem-solving are beneficial for learning Python for data science.

According to

  • In the United States, the national average salary for a Python developer is USD 83,273 per year.
  • In the UK, the national average salary for a Python developer is 58,719 GBP per year.
  • In India, the national average salary for a Python developer is INR 4,50,000 per year.

Python certification holds value in terms of providing better job opportunities, enhancing knowledge and skills, and increasing competitiveness. It can lead to higher pay and serves as a motivator for self-improvement and career growth.

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DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.

The results of the Exam are immediate, if you take online test at portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.

You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.

Upon completion of the course, DataMites will issue a Course Completion Certificate.

The Data Mining with Python Course at DataMites is open to individuals from various backgrounds, including graduates, postgraduates, and professionals seeking to enhance their skills in data mining using Python.

The objectives of the Data Mining with Python Training at DataMites are to provide comprehensive training in data mining techniques using Python. The course aims to equip participants with the knowledge and skills to extract valuable insights from large datasets, perform data preprocessing, apply various data mining algorithms, and interpret the results for decision-making.

The duration of the Data Mining with Python Course at DataMites lasts for 3 months. The training sessions are conducted on weekdays and weekends to accommodate different schedules.

DataMites is a globally recognized institute for data science, accredited by the International Association of Business Analytics Certification (IABAC). They offer a three-step learning method, including self-study materials, intensive live online training, and real-world projects. After completing the training, you receive an IABAC certification and internship opportunities with AI company Rubixe.

To learn Python programming, you can enroll in a Python course at DataMites. They provide comprehensive training to help you build a strong foundation in Python for your career advancement.

Yes, Python is commonly used in data mining due to its extensive libraries and tools specifically designed for data analysis and manipulation. Python provides powerful frameworks like Pandas, NumPy, and Scikit-learn, which simplify data preprocessing, exploratory data analysis, and machine learning tasks. Proficiency in Python or any other programming language is considered essential for successful data mining work.

The Data Mining with Python course at DataMites helps you develop a profound understanding of data mining using Python. You will acquire the necessary skills, tools, and techniques to extract valuable insights from extensive datasets. Through hands-on experience with real-world projects, you'll become adept at data mining, visualization, and analysis using Python, empowering you to unlock valuable information hidden within the data.

The python training fee at DataMites varies depending on the course and mode of training selected:

Live Virtual:

  • India: INR 34,000 (INR 27,573 discounted price)
  • USA: USD 560 (USD 450 discounted price)
  • UK: GBP 330 (GBP 163 discounted price)


  • India: INR 20,000 (INR 12,198 discounted price)
  • USA: USD 330 (USD 204 discounted price)
  • UK: GBP 210 (GBP 91 discounted price)


  • India: INR 42,000 (INR 29,623 discounted price)

Yes, DataMites offers classroom training, but it is currently available only in Bangalore, India. However, they may consider hosting classes in other locations based on demand and the availability of candidates.

Flexi-Pass at DataMites allows you to attend training sessions related to Python for a period of 3 months, providing flexibility for queries and revision.

Yes, DataMites provides an IABAC® certification, which is globally recognized and validates your skills in Python.

Yes, DataMites has a dedicated Placement Assistance Team (PAT) that helps with placement facilities after completing the course. The team assists in job connections, resume creation, mock interviews, and interview preparation.

A: DataMites accepts payments through various methods, including cash, net banking, check, debit card, credit card, PayPal, Visa, Mastercard, and American Express.

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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