KnowledgeHut’s skill development Python for Data Science workshop is focused on helping professionals gain industry-relevant data science expertise. Learners can avail of the instructor-led training which is of 32 hours duration.
The 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 organizations — equipping the workforce with the right development skills and ensuring that best practices are followed.
This hands-on interactive workshop with a path-breaking curriculum, and guided mentorship is your ticket to launch a career as a Data Analyst. 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. Finally, you will cover exploratory data analysis and the advanced techniques that are used to draw data insights. Along the way, you will gain hands-on expertise on various topics.
You will learn from expert data scientists who will help you bridge the skill gap and get ready for the industry by mastering Python.
Explore Python language fundamentals, including basic syntax, variables, and types
Learn about the data structures Python can handle. Create and manipulate Python lists
Learn to use Python objects like Lists, Tuple, Dictionary, Sets and perform functions
Learn to work with different data sources by manipulating and merging dataframes
Learn how to use Pandas in manipulating and analyzing a dataset in Python
Learn to create Numpy arrays, and use them to perform numerical calculations
Use various Python libraries to visualize data. Create and customize plots on real data
Anybody who is a Data Science aspirant with coding or non-coding background
365 Days FREE Access to 100 e-Learning courses when you buy any course from us
The Python for Data Science program is approved under the SkillsFuture Singapore (SSG) initiative of the Singapore Government and is qualified for subsidies under different schemes, subject to meeting the required criteria. Individuals and corporates can benefit from subsidies under this scheme as follows:
- INDIVIDUALS: Up to 90% subsidy for Singapore Citizens and Permanent Residents meeting eligibility.
- CORPORATES: Singapore-based Small and Medium Enterprises (SMEs) may submit claims for SSG-supported programmes. Refer FAQs for more details on how corporates can avail SSG subsidies.
|PYTHON FOR DATA SCIENCE COURSE FEE:|
|Singapore Citizens and Permanent Residents ||PMET||Up to 50% of course fee with a maximum limit of $15 per hour||$720||Up to 50% of course fee||$600|
|NON-PMET||Up to 80% of course fee with a maximum limit of $17 per hour||$656||$600|
|Singapore Citizens of 40 years or above ||PMET||Up to 90% of course fee with a maximum limit of $50 per hour||$120||Up to 70% of course fee||$360|
|NON-PMET||Up to 90% of course fee with a maximum limit of $25 per hour||$400||$360|
|Singapore-Based Small and Medium Enterprises (SMEs) ||PMET||Up to 90% of course fee with a maximum limit of $50 per hour||$120||$360|
|NON-PMET||Up to 90% of course fee with a maximum limit of $25 per hour||$400||$360|
*Terms and conditions apply. For more information on the SSG subsidies and eligibility, please refer our FAQs. For more details, please visit https://www.ssg-wsg.gov.sg/individuals/training-grants-incentives.html.
STEPS TO APPLY FOR THE SSG SUBSIDY AND SFC CLAIMS
The Singapore Government encourages Singaporeans to take timely action to upskill, reskill, and get better equipped to seize new career opportunities through the SkillsFuture Singapore (SSG) initiative. In addition to the SSG subsidy, every Singaporean aged 25 years and above can take advantage of the SkillsFuture Credit (SFC) to acquire the latest skills to prepare for future-ready job roles.
Not sure how to get started with applying for the SSG subsidy and making your SFC claims? Just follow these simple steps:
Step 1: Get enrolled
- Enrol into our SSG-approved Python for Data Science Course.
Step 2: Apply for the SSG subsidy
- Once you enrol into the course, your KnowledgeHut Course Counsellor will attend to your interest and help you verify your SSG subsidy eligibility.
- Guiding you through the enrolment process under the SSG subsidy scheme, the Course Counsellor will advise you on your maximum subsidy eligibility.
Step 3: Apply for the SFC claim
- Check out KnowledgeHut’s upcoming schedules and select a workshop on a date convenient to you. An invoice will be issued to you with the fee breakdown.
- Follow this step-by-step process in the MySkillsFuture portal:
a. Login to the MySkillsFuture portal, select the course you’re enrolling into and enter course date and schedule
b. Enter the course fee payable by you (including GST) and enter the amount of credit to claim
c. Upload your invoice and click ‘Submit’
Step 4: Enjoy your course
- Get the SSG subsidy, utilize your SFC credits and skill up!
CLAIM YOUR SKILLSFUTURE CREDIT
In addition to the SSG subsidy, all Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for the Python for Data Science course. For more details on SkillsFuture Credit and the various approved skills-related courses, visit www.skillsfuture.gov.sg/credit.
Need help with checking your funding eligibility?
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
Our courseware is always current and updated with the latest tech advancements.Stay globally relevant and empower yourself with the training.
Learn theory backed by practical case studies, exercises, and coding practice. Get skills and knowledge that can be effectively applied.
Our experienced support team has experts with industry experience. They will guide and assist you whenever you require help.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and insightful feedback from professional developers. Learn the industry best practices from the experts.
After completing this module, you will learn about Database development history, different types of data models and the key components of database and table.
Students will be able to apply DDL operations like create, drop, truncate, alter and rename on a table.
Student will be able to apply DML operations like insert, update and delete records from/to a table.
After completion of this module students will be able to fetch information from the tables using the select query, filter records from the table using While clause and sort records.
After completion of this module students will be able to perform aggregate operations table columns, fetch outcome using grouped queries (GROUP BY), and summarize information using aggregate function with the group by clause.
This module will help students to use join clauses to gather information in a single table from multiple tables.
Learn the basics of Python programming. This module will hand-hold a non-programmer to the programming world. You will learn writing basic Python syntaxes and understand basic Python data types. Learn writing logical conditions and performing data type conversion.
This module introduces Numpy array for numerical computation. Learn what is a Numpy array and create Numpy arrays. Learn how to describe a Numpy array in terms of dimensions & size, and clearly differentiate between a Numpy array & a Python List.
This module introduces the fundamentals of data exploration with deeper insights. Learn the various techniques to analyse your data from various angles and summarize important Statistics. Also learn the advanced techniques to churn deeper insights and various missing value imputation strategies.
Write Python code using Python library: matplotlib to visualize data and represent it graphically.
Write Python code using Python library: Seaborn to visualize data and represent it graphically.
House Attributes and Sales Price data. Use this data to explore more. Deep Dive into advanced explorations. Analyze and Visualize missing data, treat missing data to missing value imputation. Visualize data with
The Backend boot camp is a great, beginner-friendly program! I started from zero knowledge and learnt everything through the learn-by-doing method.
The syllabus and the curriculum gave me all I required and the learn-by-doing approach all through the boot camp was without a doubt a work-like experience!
I know from first-hand experience that you can go from zero and just get a grasp on everything as you go and start building right away.
Knowledgehut is the best training institution. The advanced concepts and tasks during the course given by the trainer helped me to step up in my career. He used to ask for feedback every time and clear all the doubts.
My special thanks to the trainer for his dedication and patience. I learned many things from him. I would also thank the support team for their help. It was well-organised, great work Knowledgehut team!
KnowledgeHut is a great platform for beginners as well as experienced professionals who want to get into the data science field. Trainers are well experienced and participants are given detailed ideas and concepts.
The teaching methods followed by Knowledgehut is really unique. The best thing is that I missed a few of the topics, and even then the trainer took the pain of taking me through those topics in the next session. I really look forward to joining KnowledgeHut soon for another training session.
Trainer really was helpful and completed the syllabus covering each and every concept with examples on time. Knowledgehut staff was friendly and open to all questions.
Python is a rapidly growing high-level programming language which enables clear programs on small and large scales. Its advantage over other programming languages such as R is in its smooth learning curve, easy readability and easy to understand syntax. With the right training, Python can be mastered quick enough and in this age where there is a need to extract relevant information from tons of Big Data, learning to use Python for data extraction is a great career choice.
Our course will introduce you to all the fundamentals of Python and on course completion, you will know how to use it competently for data research and analysis. Payscale.com puts the median salary for a data scientist with Python skills at close to $100,000; a figure that is sure to grow in leaps and bounds in the next few years as the demand for Python experts continues to rise.
On completing this course, you will be competent in:- Using Jupyter Notebooks in Anaconda- Creating user-defined functions
- Manipulating & analyzing data
- Visualizing data using Python libraries like Matplotlib and Seaborn
Python programmers are in much demand and by the end of this course, you will be able to land a role as a Python developer or data science expert. You would have gained knowledge of the use of data science techniques and the Python language to build applications on data statistics and write reusable, testable and efficient code.
Tools and Technologies used for this course are-Python-Anaconda
There are no restrictions but participants would benefit if they have elementary programming knowledge and familiarity with statistics.
Yes, KnowledgeHut offers virtual training.
On successful completion of the course, you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are Python experts who have years of industry experience.
Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of the written request for a refund. Kindly go through our Refund Policy for more details.
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor.