IBM Data Science Professional Certificate

This course provides a comprehensive introduction to data science, covering key concepts, tools, and techniques used in the industry.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

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What you will learn

  • Gain hands-on experience with Python, SQL, and data visualization tools.
  • Learn how to clean, analyze, and interpret data using Pandas and NumPy.
  • Explore machine learning techniques and build predictive models with Scikit-learn.

  • Develop skills in data storytelling and visualization using Matplotlib and Seaborn.
  • Work with databases and write SQL queries for data extraction and analysis.
  • Complete a capstone project to apply learned skills in a real-world data science scenario.

Program Overview

Foundations of Data Science

⏱️ 4-6 weeks

  • Understand the fundamentals of data science and the role of a data scientist.
  • Learn about data structures, statistical concepts, and data manipulation.
  • Get introduced to Jupyter Notebooks and Python programming.

Data Analysis and Visualization

⏱️6-8 weeks

  • Use Python libraries like Pandas and Matplotlib for data analysis.
  • Learn how to create compelling visualizations to communicate insights.
  • Develop an understanding of exploratory data analysis techniques.

Machine Learning with Python

⏱️8-12 weeks

  • Understand the basics of machine learning and AI applications.
  • Build predictive models using Scikit-learn.
  • Learn about classification, regression, and clustering algorithms.

Databases and SQL for Data Science

⏱️6-8 weeks

  • Learn how to extract, filter, and manipulate data using SQL.
  • Work with relational databases and cloud-based data storage solutions.

Capstone Project

⏱️ 12-15 weeks

  • Work on a hands-on project to solve a real-world data science problem.
  • Apply machine learning techniques, data visualization, and storytelling.
  • Develop a professional portfolio piece to showcase your skills.​

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Job Outlook

  • Data science is one of the fastest-growing fields, with high demand across industries.
  • The average salary for data scientists ranges from $90K to $140K per year.
  • Data science skills are valued in finance, healthcare, retail, and technology sectors.
  • Employers seek expertise in Python, SQL, machine learning, and data visualization.
  • The IBM Data Science Certificate boosts job prospects for Data Analyst, Data Scientist, and Machine Learning Engineer roles.
8.7Expert Score
Highly Recommended
The IBM Data Science Professional Certificate is an excellent program for beginners and aspiring data scientists. It provides hands-on experience with industry-standard tools and covers essential data science concepts comprehensively.
Value
8.3
Price
8
Skills
8.4
Information
8.7
PROS
  • Covers all essential data science skills with hands-on practice.
  • Uses Python, SQL, and machine learning tools relevant to the industry.
  • IBM-backed certification adds credibility to job applications.
  • Beginner-friendly with no prior experience required.
  • Interactive projects help build a strong portfolio.
CONS
  • Lacks in-depth coverage of deep learning and advanced ML.
  • Some modules may require additional practice outside the course.
  • Self-paced learning requires discipline to complete on time.

Specification: IBM Data Science Professional Certificate

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

IBM Data Science Professional Certificate
IBM Data Science Professional Certificate
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