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 workforce with the right development skills and ensuring that best practices are followed.
This immersive and interactive workshop with a path breaking curriculum, capstone project and guided mentorship is your ticket to launch a career as a Data Analyst. Laying emphasis on project and 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 the 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
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 on your final projects from professional developers. Learn the industry best practices from the experts.
Learning Objectives
After completing this module, you will learn about Database development history, different types of data models and the key components of database and table.
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Students will be able to apply DDL operations like create, drop, truncate, alter and rename on a table.
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Student will be able to apply DML operations like insert, update and delete records from/to a table.
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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.
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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.
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This module will help students to use join clauses to gather information in a single table from multiple tables.
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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.
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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.
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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.
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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
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.
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.
I would like to thank the KnowledgeHut team for the overall experience. My trainer was fantastic. Trainers at KnowledgeHut are well experienced and really helpful. They completed the syllabus on time, and also helped me with real world examples.
Overall, the training session at KnowledgeHut was a great experience. I learnt many things. I especially appreciate the fact that KnowledgeHut offers so many modes of learning and I was able to choose what suited me best. My trainer covered all the topics with live examples. I'm glad that I invested in this training.
The instructor was very knowledgeable, the course was structured very well. I would like to sincerely thank the customer support team for extending their support at every step. They were always ready to help and smoothed out the whole process.
Knowledgehut is the best platform to gather new skills. Customer support here is very responsive. The trainer was very well experienced and helped me in clearing the doubts clearly with examples.
The course material was designed very well. It was one of the best workshops I have ever attended in my career. Knowledgehut is a great place to learn new skills. The certificate I received after my course helped me get a great job offer. The training session was really worth investing.
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.
KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.
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.
Python for Data Science is a course that will walk you through Python basic programming and usage of critical libraries like Numpy, Pandas, Matplotlib, Seabon, and ggplot. Python for Data Science course prepares you with Python Programming capabilities for Data Manipulation, Exploratory Data Analysis and Data Visualization which are an absolute must for being a Data Science expert. Our intensive prep will help you clear any interview and land coveted positions. Python is a disruptive technology and mastering it can ensure that you land a lucrative job in the field of data science.
Python for Data Science can be easy or difficult depending on your learning approach and technical expertise. Whether you are a novice or experienced programmer, getting trained under an expert Python for Data Science practitioner via live interactions can help reduce the learning curve and enrich your learning experience.
KnowledgeHut’s Python for Data Science course combines Immersive Learning approach with live, interactive sessions led by expert practitioners to help you upskill faster and easier. The course aims at refining your skills through actual projects, real-world case studies, hands-on exercises, and more.
To enroll, checkout our upcoming courses.
Yes, you can attend the Python for Data Science Course Online via KnowledgeHut. Our Python for Data Science Course is an online training program designed to improve your skills via fun engaging sessions lead by industry’s best, hands-on exercises, and simulated environment, among others.
Python is a rapidly growing high-level programming language that helps one write clear programs at small and large scales. Python has a smooth learning curve, easy readability, and easy to understand syntax. So, with the right training, Python can be mastered quick enough. In this Digitized Era there is a rising need for data extraction, therefore, mastering Python can boost your career and widen your job prospects.
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.
You can learn the following in the Python for Data Science course:
Python for Data Science can be mastered in a matter of weeks. With the right training, Python can be mastered quickly and easily. Getting trained under an expert Python for Data Science practitioner can help reduce the learning curve and enrich your learning experience.
KnowledgeHut’s Python for Data Science course combines Immersive Learning approach with live, interactive sessions led by expert practitioners to help you upskill faster and easier. The course equips you with the in-demand Python skills through actual projects, real-world case studies, hands-on exercises, and more.
You can learn Python for Data Science online via KnowledgeHut. The Python for Data Science course equips you with the necessary Python expertise to carry out various data-related functions. Our training sessions are made live and engaging via hands-on exercises, live projects, actual case-studies, expert guidance, and more.
You can start learning Python for Data Science with this foundational course. This course will walk you through Python basic programming and usage of critical libraries like Numpy, Pandas, Matplotlib, Seabon, and ggplot. Python for Data Science course prepares you with Python Programming capabilities for Data Manipulation, Exploratory Data Analysis and Data Visualization which are an absolute must for being a Data Science expert. Our intensive prep will help you clear any interview and land coveted positions. Python is a disruptive technology and mastering it can ensure that you land a lucrative job in the field of data science.
There are no Prerequisites for Python for Data Science Course. Data Science aspirants like you, regardless of your coding expertise or level of experience, can benefit from this course.
The following individuals can attend our Data Science Course:
The top skills that a Python Data Scientist must have are:
Here are the steps to launch a successful Data Science career with Python:
Data Science has bagged the top spot in LinkedIn’s Emerging Jobs Report for the last three years. Thousands of companies need team members who can transform data sets into strategic forecasts. The average salary for a data scientist in the U.S. is $122,338 per year and according to the Bureau of Labor Statistics, the demand for data scientists is pegged to grow by 16% between 2020 and 2028, a rate that is faster than the average for all occupations.
As the field continues to evolve there is a growing demand for Data Science skills, including Python. The need for Python for Data Science professionals is rising worldwide, here are some of the top firms that are hiring today: