Python is a great programming language for data scientists. Because of its versatility, you can use Python for almost all the steps involved in data science processes.
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The Certified Data Science with Python course will set up your Mastery of Data Science and Analytics Techniques using Python. This Course focuses upon the essential concepts of Python Programming alongside in-depth knowledge in Data Analytics, Machine Learning, Data Visualization, Web Scraping, and Natural Language Processing
It is a versatile 10-in-1 program that includes various aspects of competency development and career development.
Become a part of the Elite Analytics Academy of Henry Harvin® & join the 4,00,000+ strong Alumni Network Worldwide
● Learn an in-depth understanding of Data Science processes, Data Wrangling, Data
exploration, Data Visualization, Hypothesis building, and testing
● Understand Python Environment and other Auxiliary Tools and libraries
● Understand the essential concepts of Python Programming such as Data Types,
tuples, lists, dicts, basic operators, and functions
● Perform high-level mathematical computing using the NumPy Package and its vast
library of Mathematical functions
● Carry out Scientific and Technical computing using the SciPy Package and its
Sub-Packages such as Integrate, Optimize, Statistics, IO, and Weave
● Carry out Data Analysis and manipulation using Data Structures and tools provided in the
Pandas Package
● Gain an in-depth understanding of Supervised Learning and Unsupervised Learning
Models such as Linear Regression, Logistic Regression, Clustering, Dimensionality
Reduction, K-NN, and pipeline
● Use the Matplotlib Library of Python for Data visualization
● Extract useful data from websites by performing Web scraping using Python
● Become Eligible for Analytics Jobs demanding background
● Open doors to Job Opportunities Abroad demanding specialization
● Fill the void of thousands of untapped High-Paying Jobs in Analytics with Talent
Shortage
● Get Promoted in current profile with most in-demand skill
● Distinguish your profile from peers during Job Interviews
● Earn a Rewarding Certification- 'Certified Data Scientist (Python) (CDS-P)
● Upgrade biz card with Hallmark of Global Credential-CDS-R Professional added next to
your name
● Improve CV & LinkedIn Profile with professional development
● Support a Startup with high ROI
● Build a Startup in one of the most rewarding fields of today- Analytics
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- Data Science, Data Mining, Statistics
- Supervised vs Unsupervised Learning
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- Analytics Definition and Applications
- Why Analytics and Roles (Application and Roles in various domains..)
- Tools and Techniques in Analytics
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- Anaconda - Download & Setup
- IDEs - Jupyter, Spyder, PyCharm
- Git - Setup and Configuration with IDEs
- Creating and Managing Analytics/ ML Projects
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- Understanding NumPy Library
- Managing and manipulating data
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- Understanding SciPy Library
- Managing and manipulating data
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- Group Summaries
- Crosstab, Pivot and Reshape data
- Managing Missing Values
- Outliers Detection
- Managing indexes in pandas
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- Selection of Graph
- Libraries (matplotlib, seaborn, plotnine)
- Basic Graphs (histogram, barplot, boxplot, pie, etc)
- Managing plot parameters(size, title, axis, legend, etc)
- Advanced Graphs (correlation, heatmap, mosaic, etc)
- Exporting graphs
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- Business Communication
- Preparation for the Interview
- Presentation Skills
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Resume Building Technique
Make registration for the Certified Data Science with Python Course by the help of our counselor
Attend classes of Certified Data Science with Python Course to get credits to be eligible for the Certification. View session recordings in the LMS.
Deliver the Projects and Assignments allocated during the Certified Data Science with Python Course as part of the practical assessment system to become eligible for the CDS-P certification
Post successful completion of the Certified Data Science with Python Course, the learner will be rewarded with a CDS-P certification and use the same on social media channels to source appropriate internship, placement, and freelancing opportunities
Python is a great programming language for data scientists. Because of its versatility, you can use Python for almost all the steps involved in data science processes.
It is a post-graduate certificate course. So any graduate of any related field who wishes to upskill one skill for career growth can opt for this course.
Henry Harvin® is a Trusted Training Partner to 150+ Corporates including Avon Cosmetics, Abbott Pharma, NTPC, HostBooks, 4Closure, EY, SAB Miller, A-Paul Instruments, Eaton Corporation, Apollo Tyres, Stanley Consultants, CG Power & Industries, Mega Cabs, Fidelity Investments, MJ Logistics, UK India Business Council, Bajaj Finance, Hero Group, Wunderman and many more
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Ranking: Ranked No.1 Business Analytics Course by BestCourseNews.com
Practical Training: Focus on Learning While Doing + Popular GCAO Pedagogy
Employment Support: Live Projects + Guaranteed Internship + Weekly Job Support
Post Training Support: Recorded Videos + Monthly Brushup Sessions
Course: Get Certified Digital Content Writer (CDCW) Course from Henry Harvin® Education with affiliations from the American Association of EFL, UK Cert, UKAF, Content Writing Association in India, MSME & Govt of India.
The Certified Data Science with Python course is currently being offered via the live virtual classroom mode, due to current restrictions and safety concerns, we will resume classroom training as soon as it is feasible and safe.
As a Certified Data Science with Python, your profile matches with that of the data scientist, data analyst, data visualization expert, Quantitative Analyst, and many more.
The instructor provides you with individual feedback on your performance from time to time. Apart from that, the occasional doubt clearing sessions are conducted regularly.
Henry Harvin®️ provides you with job support services to help you to maximize your gain from your certificate.
Henry Harvin® is affiliated with the American Association of EFL, UK Cert, UKAF, MSME & Govt of India.
Data Science is an evolving discipline, and Python is now a requirement for 46% of Data Science positions. There will be an estimated 137,630 job openings for Data Science professionals in India by 2025, and professionals with Python skills will have an advantage.
Python's emphasis on intelligibility and simplicity results in a gradual and relatively low learning curve. This simplicity of learning makes Python an ideal programming language for beginners. Python offers the benefit of requiring fewer lines of code to execute tasks than primary programming languages.
There is no meaningful distinction between Python and Python for Data Science. There is only one Python. The only distinction is the utilization of separate libraries.
This course is appropriate for individuals of all experience levels due to a growing need for Data Science with Python programmers. This Data Science with Python course benefits analytics professionals interested in working with Python, Software and IT professionals interested in the field of analytics, and anyone with a genuine interest in Data Science.
The benefits of using Python in data science include the following:
This Data Science with Python course offers students a comprehensive understanding of data analytics tools and methods. Python's ease of use facilitates the acquisition of data analysis, visualization, NumPy, SciPy, web crawling, and natural language processing skills.
The Data Science with Python course instructs you on how to master Python programming techniques. Henry Harvin will demonstrate the basics of data analysis, Machine Learning, Data Visualization, Natural Language Processing, and Web Scraping using Python for Data Science. After completing this course, you will have mastered the fundamental Python Data Science tools.
Top eight Python Libraries for Data Science
Learners must hold a bachelor's degree or a high school diploma. To fully understand the Python Data Science course, you should begin with Introduction to Data Science in Python, Math Refresher, Data Science in the Real World, and Statistics Essentials for Data Science. Henry Harvin provides this course as complimentary with this instruction.
According to Harvard Business Review, Data Scientist is the "best Job of the 21st Century." The statement is supported by the LinkedIn Emerging Jobs Report 2021, which identifies Data Science specialists as one of the top emerging occupations in the United States, with Python as one of their primary skills. Data scientists and Data engineers have experienced an annual growth of 35% in their job responsibility.
If you have prior programming experience or familiarity with any other object-oriented programming language, learning Python for Data Science will be simpler. However, participation is voluntary. If you are interested in taking Data Science using Python course, Henry Harvin is the best place.
Python's syntax is straightforward to grasp. Knowledge of Java or C++ expedites the acquisition of Python. Python is also object-oriented, and many prototypes are comparable to Java's. With this specific course, you can effortlessly transition to Python. If you need to know, consider taking Data Science with Python course from Henry Harvin. We will help you to learn all the fundamentals quickly and easily.
You do not need to be conversant with all of Python's libraries and modules to use it for various applications. Even if you are familiar with Python's fundamentals, this Data Science with Python certification covers the major Python libraries used in data science applications.
Python supports many open-source libraries, including SciPy, NumPy, Scikit-Learn, TensorFlow, matplotlib, and Pandas. Henry Harvin’s Data Science with Python course covers all the libraries.
To get started with this Data Science with Python course from Henry Harvin, catching up on your fundamental math, statistics, and programming skills is beneficial.
Henry Harvin’s Data Science with Python course is designed to impart marketable skills. The course material, integrated laboratories, and real-world projects enhance your practical knowledge and enable you to apply it to Data Science projects.
Data scientists perform a multitude of duties daily. They collect, combine, and analyze data to recognize trends and patterns. In addition, they develop and evaluate new algorithms to simplify data problems. Python is used in conjunction with other tools to accomplish all of these duties.
So, to execute Python, your system must satisfy the following prerequisites:
The course employs Anaconda and Jupyter notebooks. The e-learning videos provide detailed installation instructions.
Python and R are both major data science languages. Python is a general-purpose language with legible syntax and well-structured code, whereas R is a language for statistical analysis. Data specialists prefer Python due to its versatility, while R has superior visualization capabilities. Nevertheless, the nature of the data analysis endeavor you're completing will determine which programming language is most appropriate.
Python is used for Data Science by major corporations such as Google, Instagram, Goldman Sachs, Facebook, Quora, Netflix, Dropbox, and PayPal.
Henry Harvin’s Data Science with Python will equip you with a thorough comprehension of Python concepts such as functions, classes, lists, dictionaries, sets, tuples, and various Python libraries. You will then be introduced to mathematical computing, data visualization, data exploration, data analysis, web scraping, machine learning, and feature engineering concepts.
TensorFlow, NumPy, Keras, Matplotlib, sci-kit-learn, PyTorch, Scrapy, SciPy, and Pandas are among the Python libraries for data science that are widely used. Henry Harvin included these Python in Data Science with Python Course.
No, learning Python OOPs is optional to begin a career in Data Science. Nevertheless, knowledge of OOP fundamentals is advantageous when performing daily Data Science tasks.
Data Science with Python-certified professionals earn an average annual salary of $9,753. Enroll in Henry Harvin’s Data Science With Python Course today and skyrocket your career.
Yes, Data Science is an excellent career choice for the following reasons:
To become an expert in data science, you only need prior knowledge of mathematics or statistics and programming languages such as Python, Java, C, etc. With its Data Science with Python certification, Henry Harvin will assist you in gaining expertise in Data Science and achieving career success.
Yes, pursuing training in data science with Python is worthwhile because, with this certification, you will be able to:
After getting a data science with Python certification from Henry Harvin, you can work as a:
An expert in Data Science with Python is primarily responsible for accumulating and analyzing data using a variety of analytics and reporting tools to identify patterns, trends, and correlations in data sets. With the aid of Henry Harvin’s Data Science with Python certification, you will be able to understand the essential duties and responsibilities of data science professionals.
A Data Science with Python specialist must have the following competencies:
HData Systems, Hyperlink InfoSystem, Tata Consultancy Services, Accenture, Tech Mahindra, Capgemini India Pvt Ltd, Tiger Analytics, Genpact, LatentView Analytics, and DataFactz are among the top recruiters seeking Python-certified data scientists.
Henry Harvin’s highly qualified Data Science instructors are industry professionals with at least 10 to 12 years of relevant teaching experience. Before being certified to train for us, each underwent a rigorous selection process, including profile screening, technical evaluation, and a training demonstration. Additionally, we ensure that only instructors with high ratings from alums remain on our faculty.
Henry Harvin offers two types of modes for Data Science with Python Course:
Live Virtual Classroom: In online classroom training, you can attend the Python Data Science course remotely from your workstation via video conferencing.
Online Self-Learning: In this format, you will receive video lectures and can complete the course at your own pace.
If you enroll in Henry Harvin’s e-learning training program at your own pace, you can access prerecorded videos. If you enroll in the Online Classroom training, you can access the instructor-led online Data Science with Python training and the pre-recorded videos.
Each class is recorded by Henry Harvin so that you can review them as required before the next session of your Data Science with Python Course sessions.
Yes, you can revoke your enrollment if necessary. We will refund the course cost if placed within seven days. Please read our Return Policy if you want more information.
Henry Harvin’s Data Science with Python Course lasts 32 hours of Interactive two-way online classroom sessions. Again twenty-four Hours of boot camps over the Next Twelve Months. Moreover, attend unlimited batches for the next 12 months from the enrollment date at no additional cost.
Henry Harvin’s Data Science with Python Course fee is 22000 for live online instructor-led training sessions. The Data Science with Python Course offers much more than its cost.
Henry Harvin’s Data Science with Python Curriculum:
Skills Covered in Henry Harvin’s Data Science with Python Course are:
"Data Science certified specialists are most in-demand by the IT company. The Data Science with Python Course by Henry Harvin will set up your Mastery on Data Science and Analytics techniques using Python as it has done mine."
Data Scientist
"This course is beneficial for every Computer Engineering student. From this, we learnt about the Data Science Process in-depth, Data Analysis and Manipulation using Data Structures"
Data Analyst Manager
"The explanation of the courses was so good that we would never forget that in future"
Data Engineer
" It gave me the ability to interact with a common database along a comprehensive application range."
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