Data Science Zero-Hero

Become a "Data Science" Specialist. In this learning path, you will learn " Python, Data Visualization, Machine Learning, and much more".

1000+ Students enrolled
Flexible Learning

Learn at your own pace and reach your personal goals on the schedule that works best for you.

Real-world Projects

You’ll master the in-demand technologies by building real-world projects.

Live Mentor Workshops

You’ll have access to free live mentor workshop sessions through out your subscription period.

Verifiable Certificate

Upon successful completion of the Course, You will receive a Verifiable certificate with QR code.

Quiz & Mock Tests

Assess your knowledge with quiz's, mock tests and interviews.

Assured Internship

Upon successful completion of this course you are eligible to grab an internship opportunity.

Data Science Zero-Hero

Become a "Data Science" Specialist. In this learning path, you will learn " Python, Data Visualization, Machine Learning, and much more".

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Includes:
  • Verifiable certificate
  • Quiz & mock tests
  • Live mentor workshops
  • 2 devices access*
Course Description

Become a Data Science Specialist.

Data Scientist has been hailed as the “Sexiest Job of the 21st Century” by a Harvard Business review article. That being said, you might be wondering it must be hard for people to become a data scientist. But not anymore. SkillLauncher brings to you an amazing career path course on “Data Science” which will take you on an amazing journey and help you to learn Data Science with best-in-class content covering all topics starting from Python, Statistics, Data Visualization, and Machine Learning, and much more. This course will be a building block in your pursuit to have the Sexiest Job of 21st Century. Come, Join Us!

What you will learn?
  • Python Basics
  • Python Data Structure
  • Python Functions
  • Exploring Data
  • Relationship Between Variables
  • Hypothesis testing
  • Basic Of Matplotlib
  • Plots in Matplotlib
  • Advanced Excel
  • Basic Data Manipulation
  • Handling Numerical Data
  • Handling Categorical Data
  • Handling Dates and Times
  • Dimensionality Reduction Techniques
  • Supervised Learning Algorithms
  • Unsupervised Learning Algorithms
  • Model Evaluation Metrics
  • Hyperparameter Optimization Techniques
Requirements
  • No Prerequisites Required
Course Curriculum
  • Module - 1: Python Zero-1
    Go Zero-One by learning the much-needed fundamentals of “Python". In this course, you will learn " Python Basics, Python Data Structure, Python Functions"
    Section 1: Python Basics
    6 Lessons
    • Introduction and Setup
    • Variables and Expressions
    • Input and Output
    • Conditional Statements
    • Iterations and Loops
    • Strings and String Formatting
    • Lists, Indexing and Slicing
    • Tuple
    • Dictionaries
    • Functions
    • Lambda functions and mapping
    • args and kwargs
  • Module - 2: Machine Learning
    Go Zero-One by learning the much-needed fundamentals of “Machine Learning". In this course, you will learn " Dimensionality Reduction Techniques, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Model Evaluation Metrics".
    Section 1: Basic Data Manipulation
    12 Lessons
    • Lets start with Creating DataFrame
    • Describing the Data
    • Navigating the Dataframe
    • Selecting Rows Based On Conditionals
    • Replacing Values
    • Renaming Columns
    • Finding the Minimum,Maximum,Sum,Average.Count,Kurtosis and Skewness
    • Finding Unique Values
    • Deleting Columns And Rows
    • Looping And Applying Function Over a Column
    • Concatenating or Merging Data Frames
    • Grouping Rows By Values
    • Basic Numerical Feature Processing
    • Binning Features
    • Detecting and Handling Outliers
    • Scaling Feature and Handling Missing Values
    • Converting String To Dates
    • Date Based Features
    • Time Based Feature
    • Categorical Encoding and Its Need
    • Encoding Categorical Features
    • Frequency Encoding
    • Linear Principal Component Analysis
    • Kernel Principal Component Analysis
    • Thresholding Numerical Feature Variance
    • Handeling Highly Correlated Features
    • Automatic Feature Selection
  • Module - 3: Statistics Fundamentals
    Go Zero-One by learning the much-needed fundamentals of " Statistics". In this course, you will learn " Exploring Data, Relationship Between Variables, Hypothesis testing"
    Section 1: Exploring Data
    6 Lessons
    • Histogram
    • Statistical Distribution
    • Normal Distribution
    • Population Parameters
    • Mean,Variance And Standard Deviation
    • P-Value And How To Calculate Them
    • Covariance
    • Correlation
    • Pearson's Correlation
    • Spearman's Rank Correlation
    • Statistical Power
    • Hypothetical Testing
    • Chi Squared Test
    • Testing Correlation
    • Testing Proportion
    • Testing Difference in Means
    • Linear Least Square
  • Module - 4: Data Visualization
    Go Zero-One by learning the much-needed fundamentals of " Data Visualization". In this course, you will learn " Basic of Matplotlib and Plots in Matplotlib"
    Section 1: Basic Of Matplotlib
    9 Lessons
    • Image Function In Matplotlib
    • Axes Function In Matplotlib
    • Figure Function In Matplotlib
    • Axes Class And Lines In Matplotlib
    • Multiplot in Matplotlib
    • Grid Function In Matplotlib
    • Setting Limits in Matplotlib
    • Pie Chart
    • Box Plot
    • Bar Plot
    • Histogram
    • Pie Chart
    • Scatter Plot
    • Contour Plot
    • Quiver Plot
    • Box Plot
    • Violin Plot
    • 3D Plot
    • 3D Contour Plot
    • 3D Wireframe Plot
  • Certificate
    Once you've successfully completed the course, You will receive the certificate

Get Certified! Get Recognized…

Upon successful completion of the Course, You will receive a Verifiable certificate with QR code. Now employers can verify the certificates just by scanning QR code or by verification ID.

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Support on the courses is very good. Apart from that course materials are also good . Teaching faculties are also extremly supportive.

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The courses are very good and well structured. SkillLauncher even covered more advanced topics which was not in agenda or course content.

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These guys rock with amount of patience, knowledge and love how to explain things and cannot thank enough for the extreme support and mentoring.

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Content of courses is amazing. No other online platform has as many courses with dedicated teaching assistance. It has some free tutorials with time access.

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I was searching for a platform to learn AI/ML course and I came across this SkillLauncher. Their support was awesome from the day of enrollment.

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