Course Cohort
Course Cohort

Advanced Course | Transition Program

Mastering Data Science

Welcome to “Mastering Data Science,” a comprehensive course designed to elevate your skills in the rapidly evolving field of data science.
Upcoming Cohort: 10th May. 2025
Course Duration: 8 Weeks
Course Price: From £600 / $800
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400+ Students

Mastering Data Science

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Course Overview

This course takes you on an insightful journey through Python, the programming language renowned for its effectiveness in data analysis and scientific computing. Aimed at those with a foundational understanding of data analysis, this program will deepen your expertise in data manipulation, statistical analysis, and visualization using Python’s most powerful libraries.

  • 100% Online

  • 3-month Internship Placement

  • Job referrals

  • Certificate of Course Completion

What You will Learn

  • Python for Data Science

    Master the basics and intermediate aspects of Python, including data types, structures, and advanced features for data analysis.

  • Data Manipulation and Analysis with Pandas

    Learn comprehensive data manipulation using Pandas, including cleaning, transformation, and joining datasets.

  • Statistical Analysis and Visualization

    Understand statistical concepts and apply them in Python.
    Develop skills in data visualization using Seaborn to present complex data insights.

  • Exploratory Data Analysis and Hypothesis Testing

    Perform in-depth data exploration to uncover patterns.
    Master hypothesis testing techniques for various data-driven scenarios.

Prerequisites

  • Prerequisite

    Introduction to Data Analysis or equivalent foundational knowledge in data analysis.

Target Audience

  • Data analysis

    Individuals with a basic understanding of data analysis looking to specialize in data science.

  • Data professionals

    Aspiring data professionals and researchers eager to harness Python for data-driven insights.

  • Interest in upgrading python skills

    Anyone interested in upgrading their Python skills for advanced data analysis and statistical modeling.

Course Details

Course Curriculum

Introduction to Python
-Begin with the basics of Python, including its syntax, data types, and structures. Learn about Python libraries crucial for data analysis and basic data manipulation techniques using Python.
Intermediate Python
-Delve into more complex Python features, enhancing your ability to apply Python in solving sophisticated data science problems and improving problem-solving skills.
Data Manipulation with Pandas
-Comprehensive training in using Pandas for data cleaning, transformation, and analysis. Practice these skills with real datasets to become proficient in Pandas.
Joining Data with Pandas
-Learn the essential skill of merging and joining datasets from different sources. Engage in projects that require combining multiple data sets for comprehensive analysis.
Introduction to Statistics in Python
-Understand basic statistical concepts and their application in Python. Use statistics to make informed decisions based on data analysis.
Introduction to Data Visualization with Seaborn
-Develop skills in presenting data insights through compelling visualizations. Master the use of Seaborn for creating sophisticated data plots and graphs.
Exploratory Data Analysis in Python
-Explore techniques for in-depth data exploration to uncover patterns and relationships. Develop the ability to draw meaningful insights from complex datasets.
Hypotesis Testing in Python
-Master the process of formulating and testing hypotheses using Python. Apply hypothesis testing to various scenarios like A/B testing in marketing or scientific research.
Sampling in Python
-Learn about different sampling techniques and their applications in data science. Apply these methods to real datasets for practical experience.

Course Objectives

  • Immersive Instructor-Led Sessions

    Dynamic Virtual Classrooms: Interactive live classes with real-time coding and group discussions.
    Expert Guidance: Case studies, guest lectures, and regular assessments with personalized feedback.
    Query Resolution: Dedicated sessions for clearing doubts and reinforcing learning.

  • Build Something Real for Your Project Portfolio

    Varied Projects: Tackle a range of data science problems to build a diverse project portfolio.
    Real-World Relevance: Projects designed to mirror industry challenges, enhancing real- world applicability.
    Peer Collaboration: Team projects to simulate professional teamwork dynamics.

  • Learn Anytime with Unlimited 1-Year Access to Contents and Tools

    Flexible Learning: 24/7 access to all course materials, including lectures and exercises.
    Updated Content: Regularly refreshed materials to stay current with industry trends.
    Extended Resources: Access to a community of learners, additional reading materials, and mobile-friendly content.

Frequently Asked Questions

Everything you need to know about our top rated course.

What is the level of difficulty of the course?
The course is intermediate-level, best suited for those with basic knowledge of data analysis.
Are there any prerequisites?
Yes, a basic understanding of data analysis or completion of an introductory data analysis course is required.
What software or tools do I need?
Access to a computer with Python installed, preferably through an IDE like Jupyter Notebook.
Will I receive certification upon completion?
Yes, successful completion of the course will earn you a certificate.
Is support available throughout the course?
Yes, you will have access to instructor support, peer discussion forums, and customer service throughout the course.

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