IBM
Applied Data Science Specialization
IBM

Applied Data Science Specialization

Get hands-on skills for a career in data science. Learn Python, analyze and visualize data. Apply your skills to data science and machine learning.

Taught in English

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Dr. Pooja
Joseph Santarcangelo
Saishruthi Swaminathan

Instructors: Dr. Pooja

15,803 already enrolled

Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(7,415 reviews)

Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace
Earn degree credit

What you'll learn

  • Develop an understanding of Python fundamentals

  • Gain practical Python skills and apply them to data analysis

  • Communicate data insights effectively through data visualizations

  • Create a project demonstrating your understanding of applied data science techniques and tools

Details to know

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(7,415 reviews)

Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Learn at your own pace
Earn degree credit

See how employees at top companies are mastering in-demand skills

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Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from IBM
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Specialization - 5 course series

Python for Data Science, AI & Development

Course 126 hours4.6 (35,092 ratings)

What you'll learn

  • Learn Python - the most popular programming language and for Data Science and Software Development.

  • Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

  • Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.

  • Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Skills you'll gain

Category: Model Selection
Category: Data Analysis
Category: Python Programming
Category: Data Visualization
Category: Predictive Modelling

Python Project for Data Science

Course 28 hours4.5 (3,909 ratings)

What you'll learn

  • Play the role of a Data Scientist / Data Analyst working on a real project.

  • Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis.

  • Apply Python fundamentals, Python data structures, and working with data in Python.

  • Build a dashboard using Python and libraries like Pandas, Beautiful Soup and Plotly using Jupyter notebook.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Python Programming
Category: Numpy
Category: Pandas

Data Analysis with Python

Course 315 hours4.7 (17,676 ratings)

What you'll learn

  • Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data

  • Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy

  • Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines

  • Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making

Skills you'll gain

Category: Python Programming
Category: Dashboards and Charts
Category: dash
Category: Data Visualization
Category: Matplotlib

Data Visualization with Python

Course 419 hours4.5 (11,472 ratings)

What you'll learn

  • Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story

  • Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble

  • Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps

  • Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library

Skills you'll gain

Category: Github
Category: Jupyter Notebook
Category: K-Means Clustering
Category: Methodology
Category: Data Science Methodology

Applied Data Science Capstone

Course 513 hours4.7 (6,964 ratings)

What you'll learn

  • Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders 

  • Apply your skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and model evaluation

  • Write Python code to create machine learning models including support vector machines, decision tree classifiers, and k-nearest neighbors

  • Evaluate the results of machine learning models for predictive analysis, compare their strengths and weaknesses and identify the optimal model 

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Python Programming
Category: Pandas
Category: Jupyter notebooks

Instructors

Dr. Pooja
IBM
4 Courses263,711 learners
Joseph Santarcangelo
IBM
25 Courses1,311,281 learners

Offered by

IBM

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