Data mining is the process of finding information for future prediction by analyzing big sets of data. Data mining is 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 provide practical exposures which help you grasp the subject and become an expert in this domain. Data Mining is fast growing domain as we are generation lot of data every day. There are many opportunities for people with in-depth knowledge of data mining.



  • 1-Day(1 weekend) Intensive Program
  • 3 Months Live Project Mentoring

Live Virtual

  • 10 Hrs Live Virtual Intensive Program
  • 3 Months Live Project Mentoring

Self Learning

  • 1 Year Access to Elearning content
  • 3 Months of Live Project Mentoring


Python is the most popular programming language for Data Science as on Today. Python is 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 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 programing 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 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 alorithms as on Today. A quick search in reveals about 50,000 open job opportunities in USA alone as a day average in year 2017 for Python professionals. This trends is only going to increase exponentially in 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. Candiates 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 convential programmer aiming to gain basic machine learning coding skills
  • Job seekers, pursuing career as Data Science Developer
  • Professionals, who's job involves Data Science and Python.

In recent years, Python gained popularity as the preferred langauge for Machine Learning and Deep Learning. This course provide the advantage of cutting complexity of Python Language and focus on learning Data Mining with Python in most efficient and effective manner to become 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


  • 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


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.

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