Data Science Certification
Free

Objective
More and more businesses today are using Data Science to add value to every aspect of their operations. This has led to a substantial increase in the demand for Data Scientists who are skilled in technology, maths, and business. However, the supply has not kept pace with the demand, creating many highly paid job opportunities for Data Scientists.
Who should attend:
Professionals and students from various backgrounds such as statistics, marketing, finance, economics, IT, analytics, marketing research, etc. looking to make a career in analytics and data sciences.
REGISTER
GROUP OF 3 OR MORE [USD 800 PER PARTICIPANT]
INDIVIDUAL STANDARD PRICE [USD 1000 PER PARTICIPANT]
Course Features
- Lectures 100
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 65
- Certificate No
- Assessments Yes
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Python Overview
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Python Data Structures
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Python Operators
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Python Decision Making
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Python Loops
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Python Loop Control Statements
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Python Toolbox
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Python Packages
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Data Manipulation
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Python Testing and Debugging
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Visualization using Python
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Introduction to Statistics and Probability
- Introduction to Statistics
- Descriptive Statistics
- Measure of Central Tendency
- Measure of Dispersion
- Measure of Shapes
- Probability
- Sampling methods
- Probability Sampling
- Simple Random Sampling
- Semantic Sampling
- Stratified Sampling
- Cluster Sampling
- Non- Probability Sampling
- Convinced Sampling
- Quota Sampling
- Judgement Sampling
- Snow Ball Sampling
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Introduction to Hypothetical Testing
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Introduction to Machine Learning
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Introduction to Modelling packages
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Introduction to Supervised & Unsupervised Learning
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Introduction to Time Series Analysis
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Introduction to Deep Learning
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Introduction to Keras
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Introduction to Artificial Neural Networks
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Introduction to CNNs
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Introduction to NLP
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Case Study with Financial Analytics
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Case Study with Social Media Analytics
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Capstone Project
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Data Visualization with Tableau