Python for Data Science

Python is the most popular programming language for data science as on today. Python is a powerful, easy to learn and flexible tool for coding data science and machine learning algorithms.

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Course Objectives

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

Course Module

  • 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

  • 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

  • Creating basic charts
  • Statistical Charts
  • Web Scrapping tools

  • Overview of Supervised and Unsupervised Machine Learning
  • Linear Regression
  • Clustering with K-means
  • Naive Bayes Classification
  • Introduction to Neural Networks

Learning Approch

  • Designed with a focus on real world relevance
  • Real-world case studies
  • Hands-on Assignments
  • Individualized Instructor
  • Career Guidance

Certification (LP Certificate)

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Certification (KHDA)

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Expert Instructors & Teaching Methods


With 15 years of experience, our trainer has handled a lot
of complex projects in top enterprises. He is an IITan, a
Sun Certified Java Programmer and a certified Software
architect. He is a well qualified Data Scientist with experience
in Hive, Hadoop, HBase, Spark, Sqoop, Crunch, Zookeeper,
Kite, R, SolR, Cassandra, Flume, Kafka, Map
Reduce, Oozie. He is well-versed with the development of
web services and application development using Java,
Struts, Spring, Angular, CSS, SQL, HTML and Hibernate.
Having successfully implemented the project on Big Data
Platform (Cloudera) and with experience of using new-age
technologies such as Impala, Sqoop, Oozie, Pig, and Hive,
training comes effortlessly to him. He has had a strong
exposure to integration technologies like Apache Kafka,
WMB, IBM MQ, JMS/REST and Websphere ESB. He also
possesses experience in Waterfall, TDD, Iteration and all
phases of SDLC including Agile (Scrum).


Learners Experience

Frequently Asked Questions

Our trainings are mostly instructor led and classroom based. However, we also offer high quality live and interactive online sessions.

Our highly skilled faculties from around the globe are experts in their fields and come with decades of diverse industry experience. Our trainers are internationally recognized and locally preferred with rich research driven experience which will ensure highly customizable, engaging and top in the class learning experience.

Choosing LearnersPoint is true value for money as our trainings are right blend of theory and practice and specially developed keeping tomorrow's business needs in mind. All the training sessions are closely monitored through specially designed progress tracker to ensure reinforced and unparalleled learning experience.

Once you have registered for a course and wish to not to proceed with the training for any reason, you are entitled for a refund of the fees provided we are notified in writing within 2 days from the date of initial registration before the training commencement. The refunds are processed within 4 weeks from the day of withdrawal.