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Data Science Foundation Course

Masterclass by renowned expert

32 hours of instructor-led training

10 up-to-date course modules

Flexible learning options for individuals & groups.

Easy convenient payment plan

4.9/5

6473 Enrolled

Overview

What we plan to teach you

  • Our Data Science Foundation Course provides a solid introduction to Data Science & Analytics for professionals
  • Learn about Data Science pipeline, roles in the field & team structures
  • Get practical experience in importing data & performing exploratory analysis
  • Acquire insights into career paths, resume tips & job application strategies
  • Master key areas like business knowledge, programming skills & statistics

Learning Objectives

Upon finishing the course, you will be able to:

  • 1

    Gain expertise in interpreting and communicating data using diverse real-world examples from various industries

  • 2

    Make accurate predictions through the application of machine learning and statistical techniques

  • 3

    Develop computational thinking, programming skills, and proficiency in data analysis and visualisation

  • 4

    Cultivate the ability to think critically about data and derive sound conclusions based on thorough analysis

  • objective-image

    Ready to get started?

  • Prerequisites

    The prerequisites to apply for the Data Science Foundation Course are as follows:

    • Academic Prerequisites: It is necessary to possess a degree in computer science, mathematics, statistics, business information systems, information management, or a related discipline at the undergraduate or graduate level
    • Mathematics/ Statistics Prerequisites: Knowledge of statistics and probability, understanding of Multivariable Calculus & deep understanding of Linear Algebra
    • Programming Prerequisites: Skills in Python & Knowledge of Excel

    Overall ratings by our students

    Upcoming sessions

    Nasvi Kareem

    Nasvi Kareem is a skilled professional with five years of experience in the UAE and MENA region. She is a Certified Python trainer, Data Analyst, Researcher, and Embedded Engineer. Nasvi has authored publications like "Airport Data Interpretation Using Python Programming" and "Emotion Controlled Health Monitoring System Based on IoT Design," showcasing her expertise.

    Her strong programming skills and passion for Data Science drive her interest in research. She is well-versed in IT courses such as Java, Python, C programming, SQL, and HTML. Nasvi has a proven record in teaching corporate professionals and government employees, using tools like MS Office, Excel, and Power BI.

    Nasvi is highly motivated, adaptable to diverse teams, and stays updated with industry trends, making her a valuable asset to any organization.

    Core Competencies:

    • Proficient in programming languages including Python, Java, C programming, SQL, and HTML
    • Skilled in data visualization and analysis tools like MS Excel, Power BI, and Python libraries
    • Extensive experience in delivering corporate training programs on Data Science, Big Data Analytics, and Web Development
    • Strong research and publication skills, demonstrated by authoring papers on Python programming and IoT-based systems
    • Competent in robotics and computer science education, with a focus on practical application.

    Professional Qualifications:

    • Certified Python Trainer
    • Extensive hands-on experience as an IT trainer, robotics/computer science educator, and technology coordinator
    • Author of technical publications including "Airport Data Interpretation Using Python Programming" and "Emotion Controlled Health Monitoring System Based on IoT Design"
    • Delivered notable corporate training programs in Data Science, Big Data Analytics, and Web Development across MENA regions
    • Proven technical expertise as an Embedded Engineer trainee
    Nasvi Kareem

    Learners Point Certificate

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

    Certifcate-Image0

    KHDA Certificate

    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.

    Certifcate-Image1

    Related courses

    Curriculum

    1. Academic Prerequisites

    • It is necessary to possess a degree in computer science, mathematics, statistics, business information systems, information management, or a related discipline at the undergraduate or graduate level

    2. Mathematics/ Statistics Prerequisites

    • Knowledge of statistics and probability
    • Understanding of Multivariable Calculus
    • Deep understanding of Linear Algebra

    3. Programming Prerequisites

    • Skills in Python
    • Knowledge on Excel
    • Business Analytics vs Big Data vs Data Science
    • Components of Data Science: Venn diagram
    • Understanding Data Science Pipeline
    • Roles and Jobs in Data Science in the Market
    • Data Science Team Structure
    • Business / Domain Knowledge
    • Hacking / Programming Skills
    • Statistics
    • Machine Learning
    • Reading from existing data from flat files and database
    • APIs
    • Web Scraping
    • Other data-gathering methods
    • Hands-on importing data
    • Basic statistics
    • Exploratory graphs
    • Exploratory statistics
    • Programming basics
    • Python overview
    • R overview
    • SQL
    • Hypothesis Testing
    • Confidence
    • Validating
    • Decision trees
    • Ensembles
    • k-nearest neighbors (kNN)
    • Naive Bayes classifiers
    • Artificial neural networks
    • Introduction to Visual Analytics
    • Interpretability
    • Actionable insights
    • Various Graphical Representations
    • Data Science Learning sources
    • Data Science relevance in your career
    • How should a data scientist’s resume look like
    • Tips on job applications

    Frequently asked questions

    Our Data Science Foundation Course is designed for individuals to learn the fundamental data science concepts, key tools and techniques to build a career in data science. There are several benefits that a participant can acquire through our training. Some of these benefits are:

    1) Solid understanding of core data science concepts
    2) Apply data analysis and visualization techniques
    3) Career growth opportunities
    4) Learn popular tools and programming languages
    5) Foundation for advanced learning in data science

    Our course is ideal for both beginners and working professionals wishing to build on the foundational skills of data science. They can enrol in our training provided they have some basic mathematical and programming skills. It is recommended to have an academic degree in computer science.

    The participants enrolling in our Data Science Certification Course can acquire several skills related to data science. These skills make them a valuable asset in the global market and lead to career growth. Some of these skills are:

    1) Learn data analysis
    2) Develop data visualization
    3) Master machine learning basics
    4) Understand data manipulation skills
    5) Implement tools like Python, R and SQL

    With the rising demand for big data and data science in today's business world, pursuing a career in Data Science is a great choice with unlimited job opportunities. Professionals with Data Science certification are hired by top companies for various data science-related jobs across various sectors.

    By enrolling in our Data Science Certification Course, an individual can gain the knowledge required to succeed in the growing field of data science. Data Science is widely used to process information much faster with its accelerated learning and advanced capabilities. As data analysis is a complex field, individuals acquire deep-rooted knowledge through this training to have a promising career. It also helps to prepare for the Microsoft Certified Data Analyst DA-100 certification exam.

    In our training program, expert trainers will help the participants learn various tools which are important for using and applying data science principles and techniques. Some of the key tools used are:

    1) Python
    2) R
    3) SQL
    4) Tableau
    5) Excel
    6) TensorFlow
    7) Scikit-learn
    8) Matplotlib
    9) Hadoop
    10) Spark

    Yes, upon the completion of the Data Science Certification Course, successful candidates are awarded a course completion certification from Learners Point Academy. This certificate will validate the individual’s skills in data science in the global market.

    After completing the training program in Data Science, an individual becomes highly sought-after by the top companies worldwide. Due to the diverse use of data science across many industries, an individual can work in various sectors. Some of these sectors are:

    1)Finance
    2) Healthcare
    3) Marketing
    4) Retail
    5) Information Technology (IT)

    The Data Science Training Institutes in Dubai are as follows:

    1) Learners Point Academy
    2) Ambéone Institute of Artificial Intelligence & Data Science
    3) DataMites Global Institute for Data Science

    The career path for a professional after completing the Data Science Certification are as follows:

    1) Data Scientist
    2) Data Analyst
    3) Data Engineer and many other roles

    The important skills professionals will learn after completing Data Science Training are as follows:

    1) Programming
    2) Probability and Statistics
    3) Data Wrangling and many more

    Do you want to learn more about Learners Point Academy?

    • Learn more about courses
    • Understand about our methodology
    • Let’s talk about Corporate trainings
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