What You Will Learn?
  • Basic Notebook commands
  • Variables, lists, dictionaries, sets, classes in Python
  • Mathematical functions in Numpy
  • Start and execute the steps of a data science project, from project definition to model evaluation.
  • Use the R Programming Language to execute data science projects and become a data scientist. Implement business solutions, using machine learning and predictive analytics.
  • Understand Data Science to Be a More Effective Data Analyst
  • Use machine learning techniques to build effective predictive models.

Follow a Structured Curriculum

  • Data Mining Introduction
  • Examples of Data Science
  • Python for Data Science

  • Introduction to Data Visualization
  • Processes in Data Science
  • Data Wrangling, Data Exploration, and Model Selection
  • Exploratory Data Analysis or EDA
  • Data Visualization
  • Plotting
  • Hypothesis Building and Testing

  • What is Python?
  • Installing Anaconda
  • Understanding the Spyder Integrated Development Environment (IDE)
  • Python basics and string manipulation, lists, tuples, dictionaries, variables
  • Control Structure – If loop, For loop and while Loop
  • Single line loops
  • Writing user defined functions
  • Object oriented programming
  • Working with Class & Inheritance

  • Measure of Central Tendency – Mean, Mode and Median
  • Grouped and Ungrouped Data
  • Measure of Spread – IQR, Variance and Standard Deviation
  • Covariance
  • Correlation
  • Kurtosis, Skewness

  • Intro to Numpy Arrays
  • Creating ndarrays
  • Indexing
  • Data Processing using Arrays
  • Mathematical computing basics
  • Basic statistics
  • File Input and Output
  • Getting Started with Pandas
  • Data Acquisition (Import & Export)
  • Indexing
  • Selection and Filtering
  • Sorting & Summarizing
  • Descriptive Statistics
  • Combining and Merging Data Frames
  • Removing Duplicates
  • String Manipulation
  • Creating Line Plots, Bar Charts, Pie Charts, Histograms, Scatter Plots
  • Basic Plots, color palettes
  • Plotting categorical data
  • Visualizing linear relationship

Learn From the best

BootUP did a great job explaining all the topics so it's easy to understand

I thought it would be hard to learn data science since I have no relevant background whatsoever. But the BootUP Instructor did a great job explaining all the topics so it's easy to understand, totally fun, encouraging, and not boring at all. I always find myself motivated to keep learning and be able to finish the exercises less than a day. 100/10 will recommend to my friends.

Erica Tanjung, Accounting at Fashion Startup Company

Data Science Course Schedule

BootUP provides 4 entry levels for the Data Science. Check the available levels and the schedule in the table below and choose your entry level. We provide some courses in other countries based on the available schedules and plans. We started the journey in India as Skill Speed, a well known and respected academy with thousands of graduates and students, mostly hired by our career partners. They provide BootUP Academy students with some venues in India. We also might have different venues in different countries based on our plans and availability of our courses.

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