Fast Track Your Data Science Career
KnowledgeHut’s skill development Python for Data Science workshop is focused on helping professionals gain industry-relevant data science expertise. The course is delivered by top instructors via 21.5 hours of live online training.
This program will cover all the essential Python for Data Science skills that are the most sought-after across industries. Currently, the expertise available in this field is highly fragmented and aspirants who want to become data scientists need to skill up to meet industry demands. This program addresses the main challenges faced by tech-focused organisations — equipping the workforce with the right development skills and ensuring that best practices are followed.
This interactive workshop with a path-breaking curriculum, and 16.5 hours of hands-on exercises is your first step towards a successful data career. Laying emphasis on reason-based learning, the curriculum is split into easily comprehensible modules that cover the latest advancements in data science and Python. Starting with Python syntaxes and data types, you will move on to Python objects and the various operations associated with them. You will then dive deep into coding best practices, Numpy, Pandas, and visualization techniques.
Course reference number: TGS-2022016064
KnowledgeHut Experience
Instructor-led Online Classroom
Interact with instructors in real-time— listen, learn, question, and apply. Our instructors are industry experts and deliver hands-on learning.
Curriculum Designed by Experts
Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the training.
Learn Through Doing
Learn theory backed by practical case studies, exercises, and coding practice. Get skills and knowledge that can be effectively applied.
Mentored By Industry Leaders
Our experienced support team has experts with industry experience. They will guide and assist you whenever you require help.
Advance From The Basics
Learn concepts from scratch and advance your learning through step-by-step guidance on tools and techniques.
Code Reviews By Professionals
Get reviews and insightful feedback from professional developers. Learn the industry best practices from the experts.
Prerequisites
- Minimum Education Level – N Level
- Work Experience – None
- Age - 18 years and Above
- Workplace Literacy and Numeracy Level (WPLN)
- Computer Skills: Using browsers, basic knowledge of MS Office, installation of software
- Functioning computer to take online synchronous classes, with table internet connection and microphone to interact
What you will Learn
Understand and apply steps to install and setup Python
Understand Data Types. Create and apply Code and Data using Data with Code, Syntax and Naming Conventions.
Apply Data Types, Arithmetic Operators, In-Built Functions
Establish business rules using conditional statements to make situational decisions
Use Strings for creating and Indexing, Negative Indexing, Slicing, Stepping, Immutability Concept and Important String Functions
Implement Data Structures with Lists, Tuples, Sets and Dictionaries
Apply User Defined Functions, Passing Parameters and Return Values
Execute NumPy arrays, Attributes, Indexing, Slicing, Operations and Rand
Use Pandas objects like Series & DataFrames for series object and perform operations on a Series object and DataFrames.
Apply and use Meta characters and Special sequences
Use Basic plots, Sub plots, Bar, Pie, Histogram and Scatter and Plots using Pandas
Who should Attend?
- Data Analysts
- Individuals who have no prior programming experience in coding
- Intermediate level professionals using Python for their tasks
- Statisticians
- Business Analysts
- Product Manager
- Professionals looking for a career change
Curriculum
- What is Python?
- Python for data science
- Installation and Setup
- Hello world
- What is code and data?
- Creating data
- Using data with code
- Syntax and naming conventions
- Conditional statements: if elif else
- Other operators: in, not in, is, is not
- While Loop
- For Loop
- Combination of Loops and conditional statements
- Creating and Indexing
- Negative Indexing, Slicing and Stepping
- Immutability Concept
- Important String functions
- Python data structures
- What is a list?
- Creating a list
- List operations
- List: In-built functions
- List Joins
- What is Tuple?
- Creating tuple
- Tuple operations
- Tuple: In-built function
- What is a set?
- Creating a set
- Set operations
- Set: In-built functions
- Creating User Defined Functions (UDFs)
- Return value from a UDF
- UDF with fixed set of parameters
- UDF with variable set of parameters
- What is Python NumPy
- Functions to create array
- NumPy operations - dtypes, size, shape, reshape, itemsize
- Indexing array
- Slicing array
- Arithmetic operations on array
- Arithmetic functions on array - sum(), min()
- Concatenation of Arrays.
- Different ways of creating arrays
- Random number generation
- Intro to regular Expression
- Metacharacters and special sequences
- What is visualisation?
- Basic plots
- Sub plots
- Bar, Pie, Histogram and Scatter Graphs
- Plots using pandas
Frequently Asked Questions
Training
This training is designed to help you use Python effectively in Data Science projects. By the end of this course, you will:
- Understand and apply steps to install and setup Python
- Understand Data Types. Create and apply Code and Data using Data with Code, Syntax and Naming Conventions.
- Apply Data Types, Arithmetic Operators, In-Built Functions
- Establish business rules using conditional statements to make situational decisions
- Use Strings for creating and Indexing, Negative Indexing, Slicing, Stepping, Immutability Concept and Important String Functions
- Implement Data Structures with Lists, Tuples, Sets and Dictionaries
- Apply User Defined Functions, Passing Parameters and Return Values
- Execute NumPy arrays, Attributes, Indexing, Slicing, Operations and Rand
- Use Pandas objects like Series & DataFrames for series object and perform operations on a Series object and DataFrames.
- Apply and use Meta characters and Special sequences
- Use Basic plots, Sub plots, Bar, Pie, Histogram and Scatter and Plots using Pandas
By the end of this training, you would have gained knowledge of how to work with Python and Data Science.
Currently, Python for Data Science certification training course is offered online as Live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts.
- Minimum Education Level – N Level
- Work Experience (No. of Years) – N.A
- Age - 18 years and Above
- Workplace Literacy and Numeracy Level (WPLN)
- Computer Skills: Using browsers, basic knowledge of MS Office, installation of software
- Functioning computer to take online synchronous classes, with table internet connection and microphone to interact
SSG
SSG or SkillsFuture Singapore, is a statutory body under the ministry of Education. It provides funding to both individuals and organizations to invest time into training employees or individuals in developing skills. 
SSG has different schemes available for individuals and organizations. All schemes are only valid for Singapore citizens or permanent residents. To check eligibility please check eligibility here: https://www.ssg-wsg.gov.sg/individuals/training-grants-incentives.html 
There are specific schemes available for individuals and organizations. Subsidies on courses are available to both individuals and organizations. For organizations Absentee Payroll Funding is also an additional benefit that is available to organizations. 
The Singapore Workforce Skills Qualifications (WSQ) is a national credential system that trains, develops, assesses and certifies skills and competencies for the workforce. As a continuing education and training (CET) system, WSQ supports the SkillsFuture movement to:
- Promote recognition of skills and competencies to facilitate progression, mastery and mobility;
- Promote holistic development of the workforce through technical and generic skills and competencies;
- Support economic development by professionalising skills and competencies to drive industry transformation, productivity and innovation efforts; and
- Encourage lifelong learning.
SkillsFuture Credit
SkillsFuture Credit is an initiative by Singapore Government to encourage Singaporeans to upgrade their skills. Singaporeans can use this credit to pay for different training courses including our Certified Scrum Master course.
All Singaporeans aged 25 and above can apply for the SkillsFuture Credit. For more information on eligibility click here.
No, The SkillsFuture Credit is only provided to individuals to skill up.
SkillsFuture is not a cash account and you will not earn any interest from it.
You can only use the credit to offset course fees for training programs which are approved by SkillsFuture like our Certified Scrum Master training course.
You can reach out to our course counsellor for assistance or follow the following steps:
- Login to MySkillsFuture
- Select course and enter course data and schedule
- Enter course fee payable including GST and enter the claim amount
- Upload invoice and click Submit.
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