R3 840.00
Data Science is one of the most in-demand skillsets across many job roles. This Aspire Journey will teach you the basics of cleaning, analyzing, and visualizing data. You will learn industry-standard libraries in Python, including pandas and seaborn. Along the way, you will create real-world projects to practice and demonstrate your analytics skills.
 Digital learning |
 Start anytime |
 Months course access |
 Skillsoft LMS access |
 Online Skillsoft mentor |
 Certified by Optimi College |
Course fee: R3 840.00
Deposit: R960.00
Monthly instalments: R960.00 x 3
Duration: You will have Skillsoft access to this course for 12 months. The average time required to work through the syllabus is:
Course code: C01354
Course overview:
Modules and topics covered:
Track 1: Python for Data Science
Case Studies In Data Literacy
Exploring Data With Python
Sorting And Filtering Rows With Python
Cleaning And Transforming Columns With Python
Merging and Aggregating Data
Handling Complex Datasets
Custom Data Methods
Track 2: Exploratory Data Analysis with Python
Data Types And Quality
What is EDA?
Python Variable Types with Pandas
EDA Data Cleaning and Validation
Statistical Thinking
EDA Data Summaries
EDA Associations: Quantitative And Categorical Variables
EDA Associations: Two Quantitative Variables
EDA Associations: Two Categorical Variables
Track 3: Data Visualization with Python
Data Visualization Basics
Misleading And Confusing Graphs
Make A Line Chart with Matplotlib
Making A Visual Argument with Matplotlib
Seaborn Make Charts
Seaborn Modify Chart Parameters
Track 4: Data Cleaning with Python
Introduction to Regular Expressions
Data Cleaning with pandas
Handling Missing Data with Pandas: Deletion
Handling Missing Data with Pandas: Single Imputation
Missing Data Lab: Stack Overflow Survey Trends
Python Data Transformations
Track 5: Introductory Statistics
Analyzing Data
Rules of Probability
Probability Distributions with Python
Sampling Distributions
Hypothesis Testing: One-Sample t-Tests
Hypothesis Testing: Simulating a Binomial Test
Significance Thresholds in Hypothesis Testing
Intro to Linear Regression
Academic grade: No minimum school pass requirements or formal prerequisites.
Language: Proficiency in English (course material and support only available in English).
Expertise level: Beginner
Equipment: Access to a PC or laptop with a reliable internet connection.
Effort: Self-paced learning online.
Course type: Short course
Industry partner: Skillsoft
Certification: Certificate confirming course completion.
Certification issued by: Optimi College
Assessment information:
Each track concludes with a final internal exam that will test your knowledge and application of the topics presented throughout that specific track. There are no external certification exams for this course.
Dedicated support team
We understand that students may require guidance and support to navigate the learning journey, and our Client Services team is always ready to assist them in every possible way. Our team is readily available during office hours and can be contacted via email, phone, WhatsApp and social media.
Skillsoft Learner Management System (LMS) access
Skillsoft is an online learning management system that offers all students enrolled for any of our IT Academy courses compelling content, interactive videos, quizzes, mentoring and practical simulations/virtual labs. The platform allows students to learn at their own pace.
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