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  • IABAC®  Global Certification
  • 5-Month | 350 Learning Hours
  • 100-Hour Live Online Training
  • 20 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring


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

Corporate Training

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  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab


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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
  • Introduction to Numpy and Pandas
  • Data filtering and selecting
  • Find duplicates and treating missing values
  • Concatenate and transform data
  • Basic Statistics and Exploratory Analysis
  • Descriptive summary statistics with Numpy
  • Summarize continous and categorical data
  • Outlier analysis
  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks
  • Advanced Data Mugging
  • Outlier Analysis
  • Treating for missing values
  • Normalization vs Standardization of data
  • Supervised Machine Learning algorithms
  • K-Nearest Neighbors (KNN) concept and application
  • Naive Bayes concept and application
  • Logistic Regression concept and application
  • Classification Trees concept and application
  • Unsupervised Machine Learning algorithms
  • Clustering with K-means concept and application
  • Hierarchial Clustering concept and application
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Building , Training and evaluation of Machine Learning Model
  • Analysis the case study: Property Estimations
  • Setting up the project with ML workflow.
  • Data Preprocessing and statistical exploration
  • Choosing the Machine Learning Algorithm for this case
  • Building, Training and evaluation of Machine Learning Model





In recent years, Python has become the most preferred language for Data Science and considered a powerful and flexible platform for building Machine Learning systems.

Python with Machine Learning is designed to provide in-depth knowledge on building Machine Learning algorithms from bottom up with Python


In recent years, Python has become most preferred language for Data Science and considered as powerful and flexible platform for building Machine Learning systems.

Python with Machine Learning is designed to provide in depth knowledge on building Machine Learning algorithms from bottom up with Python

  • Introduction to Python for Machine Learning
  • Machine Learning algorithm overview
  • Hands-on coding of popular ML algorithms with Python
  • Building Machine Learning applications with Python package Scikit-Learn.
  • Assess the knowledge through the International Association of Business Analytics (IABAC™) framework.
  • Basic programming skills recommended
  • Basic Statistics Knowledge is recommended
  • Hands-on coding of popular ML algorithms on classic data sets

In recent years, Machine Learning has taken over the mainstream business and evolved has a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on daily basis in USA alone. This course lays a solid foundation for ML aspirants with high level theory and concept along with hands on coding of popuplar Machine Learning algorithms : Linear and Logistic Regression, K-means clusturing, SVM (Support Vector Machines), KNN (K -Nearest Neighbours) and Neural Networks.

This course is an intermediate-level course, so most of the aspiring Machine Learning candidates can opt for this course


  • Professionals aspiring to pursue career in Machine Learning or Data Science in general
  • Fresh colleague graduates, who are looking to career options in Data Science
  • Candidates pursuing Data Scientist tracks

This course provides a solid foundation in Machine Learning with Python as the syllabus is aligned with international market requirements. As a part of the course, an certification assessment is conducted and candidates achieving minimum qualifying score receive a global certification, carrying immense value of the testimony of Python with Machine Learning knowledge.

At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in the 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 to enable data science professionals with strong data science skills aligned market requirements and be a part of this phenomenal Data Science era.


  • PASSIONATE: We are passionate about 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 the 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 the 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 a 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.,

Machine learning refers to a subset of artificial intelligence that involves machines imitating intelligent human behavior.

Major machine learning tools include SAS, Apache Hadoop, Tableau, BigML, Knime, RapidMiner, Excel, Apache Flink, and Power BI

Machine learning is widely applied across industries, with almost every business relying on data. Some examples include search engines, spam filters, personalized recommendation systems, fraud detection in banking, and speech recognition.

Machine learning algorithms can be categorized into supervised, semi-supervised, unsupervised, and reinforcement learning.

Machine learning has diverse applications, including medical diagnostics, finance, social media analysis, facial and voice recognition, online fraud detection, and biometrics. The machine learning market was valued at $1.41 billion in 2020 and is projected to reach $8.81 billion by 2025.

Job opportunities include data scientist, machine learning engineer, NLP scientist, business intelligence developer, software engineer, computational linguist, application architect, data analyst, and more.

Anyone interested in learning machine learning, whether a beginner or experienced professional, can enroll. Individuals aiming to enter data analytics or build a career in the field can benefit from these courses.

Prerequisites for learning machine learning include proficiency in applied mathematics, basic computer science knowledge, communication skills, understanding of NLP and neural networks, and problem-solving abilities.

Python, a widely-used high-level programming language, is renowned for its simplicity, readability, and adaptability. With a vibrant community, Python boasts an extensive library ecosystem that supports diverse applications, ranging from web development to data analysis and machine learning. Its user-friendly nature and extensive resources make it a popular choice among developers.

Python is highly recommended for machine learning due to its rich ecosystem of libraries and frameworks such as NumPy, Pandas, and TensorFlow. While expertise in Python is not mandatory, it provides a convenient and powerful toolset for data manipulation, model building, and deployment in the machine learning workflow.

Learning Python offers several advantages. Firstly, it has a gentle learning curve, making it accessible for beginners. Secondly, Python's versatility allows you to work on a wide range of projects, from web development to scientific computing. Lastly, its popularity in the machine learning community ensures abundant resources, documentation, and community support.

Freshers can secure machine learning careers by acquiring the necessary skills and actively engaging with experienced professionals in the field.

The average annual salary of a Machine Learning Engineer is around  $156,885 in the United States, £60,885 in UK, and INR ₹8,47,730 in India. (Indeed)

Machine learning certifications hold importance as they demonstrate expertise in a field with wide-ranging applications. They enhance career prospects in the technology-driven world.

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

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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.

All certificates can be validated with your unique certification number at portal. You also get candidate login at , where can find your test results and other relevant validation details.

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.

Machine Learning is a highly desirable field of study, offering lucrative salary packages. Aspiring individuals can join DataMites for their comprehensive Machine Learning Course, which provides in-depth training for a successful career.

DataMites provides Machine Learning Training in the following certifications:

  • Machine Learning Expert
  • Machine Learning Foundation
  • Machine Learning Tensorflow
  • Machine Learning with R
  • Machine Learning with Python

Python is widely regarded as the ideal language for Machine Learning. It offers simplicity and efficient data validation, enabling developers to perform complex operations without extensive coding, thanks to its robust library ecosystem.

Our Machine Learning with Python curriculum covers essential topics such as:

  • Comprehensive introduction to Python for Machine Learning
  • Overview of various machine learning algorithms
  • High-level theory of popular machine learning algorithms
  • Hands-on coding of common machine learning techniques in Python
  • Building machine learning applications using the Scikit-Learn Python package

This course offers a solid foundation in Machine Learning aligned with international market standards. It provides a structured approach to understanding machine learning concepts, avoiding the confusion of scattered online resources. A certification assessment is conducted, and students who meet the minimum qualifying score receive a globally recognized certification, adding significant value to their Machine Learning knowledge.

This course is suitable for:

  • Individuals interested in a career in Machine Learning or Data Science.
  • Recent graduates seeking employment opportunities in the data science field.
  • Senior professionals aiming to manage Data Science projects and establish a strong Machine Learning foundation.
  • Candidates aspiring to pursue a career as a data scientist.

DataMites is a globally recognized institute for Machine Learning, accredited by the International Association of Business Analytics Certification (IABAC). With over 25,000 enrolled students, we offer a three-step learning approach encompassing self-study materials, live online training, and real-world projects. Upon completion, you will receive the highly valuable IABAC certification, and internship opportunities with Rubix, a global AI company, are available.

The fees for the Machine Learning Course Online are as follows:

  • USA -$790-Discounted price- $634
  • India -INR 48,000-Discounted price- INR 38,848
  • UK -€760-Discounted price- €368

DataMites provides classroom training exclusively in Bangalore. However, upon request and considering the availability of other candidates in specific locations, we can arrange classroom training in other cities.

The Flexi-Pass for Machine Learning training allows you to attend sessions at DataMites related to any query or revision for a period of three months.

Upon completion, DataMites will issue an IABAC® certification that holds global recognition and validates your relevant skills.

Certainly, upon completing the course, you will receive a Course Completion Certificate from DataMites.

Yes, we have a dedicated Placement Assistance Team (PAT) that provides placement facilities to students upon completion of the course.

We accept payments through various methods, including cash, net banking, checks, debit cards, credit cards, PayPal, Visa, Mastercard, and American Express.

The Python for Deep Learning Training at DataMites is open to individuals with a background in programming or data science. It is suitable for professionals, students, and enthusiasts who want to gain expertise in using Python for deep learning.

The duration of the Python for Deep Learning Course at DataMites is 6 months. The training sessions are conducted on weekdays and weekends to accommodate different schedules.

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

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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