Course Detail
Programme in Certification in Python for Data Science
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Price
Starts at Rs. 7500
Start Date
2024 Oct 01
Duration
8 Hours Months
Your Pathway to Certification in Python for Data Science
Key Program Highlights
2
Specialisations
15+
Hands-on Projects
20+
Tools
- 2 Months Complimentary Programming Bootcamp For Beginners
- Solve 60+ Real-World Case Studies
- 6 Practical Hands-on Capstone Projects
- Leverage the hottest certification in python for data science
- Create and deploy certification in python for data science
- Dedicated Career Assistance
Key Program Description
With the growing demand for Python for Data Science professionals in the market today, this is the best course to learn Python for Data Science. This Python and Data Science certification training course program will fast-track your career in Python and Data Science and prepare you with a portfolio of Python and Data Science deliverables to give you the confidence to take the plunge with knowledge and confidence.
Learning Period
8 Hours
About the Python for Data Science Course
About South Asia’s finest Python for Data Science Course
- Duration/Mode: 8-Hours Live Virtual Training + 1 month free Brush Up sessions + 50hrs E-Learning Access.
- Trainer: Get Experienced Industry Mentors with 10+years of expertise.
- Internship: Guaranteed Internship with UNNCAP® or partner firms
- Job Opportunities: Weekly 10+ job opportunities offered.
- Live Projects: Experience Industry Projects during the training
Top 10 Benefits of UNNCAP® Python for Data Science Course
- Learn to apply various Python and Data Science and Machine Learning skills and techniques
- Practice with various tools used by Data Scientists and become experienced in using them
- Master the key steps involved in tackling a Python and Data Science problem and learn to think and work like a Data Scientist.
- Work with regression, classification, clustering, supervised and unsupervised machine learning, and much more!.
- Understand Python programming languages and how it aids Data Science.
- Import and clean data sets, analyze data, build, and evaluate data models.
- Utilize several data visualization tools, techniques, and libraries.
- Understand and apply variously supervised and unsupervised Machine Learning models, and algorithms to address real-world challenges.
- Grab an ample range of career possibilities.
- Upgrade your CV and get better shortlisted
Takeaways Of Your Investment
- 8-Hours Live Virtual Training
- CPDSP Certification
- Study Material
- Recorded Videos of the Session
- Hallmark of CPDSP next to your name. For Ex: Megha Rai (CPDSP)
- Monthly Brushup Sessions
- Access to the Learning Management System (LMS)
- 100% Placement, Internship and Project Support exclusively entitled for CPDS Professionals
- Add-On Supplements provided to effectively deliver projects
- Opportunity to work with renowned companies.
Projects covered (Hands-on Practical Experience)
- HR: Analyze the Attrition rate of Employees
- Sales: Predicting Department wise Sales
- Multi-Domain: Business Analytics Optimization
- Marketing: Website Trend Analysis
- Financial Analysis: Stock Market Prediction
- Finance: Analyze ETF Trends
Curriculum
In this module, the candidate will learn about Python Basics, which includes understanding Anaconda, IDEs, Git, and Creating and Managing Analytics
- Anaconda - Download & Setup
- IDEs - Jupyter, Spyder, PyCharm
- Git - Setup and Configuration with IDEs
- Creating and Managing Analytics/ ML Projects
- Quiz Module 1
In this module, the candidate will learn about Data Import and Export and Operators in Python.
- Data import and export
- Operators in Python
- Quiz Module 2
In this module the candidate will learn about the Data Structure of Python, which includes Basic Data Structures and Programming Constructs, Handling Libraries, Numpy, Pandas, and Matplotlib.
- Basic Data Structures & Programming Constructs
- Handling Libraries in Python
- Numpy
- Pandas
- Matplotlib
- Quiz Module 3
In this module the candidate will learn about Working with Data in Python, which includes Group Summaries, Managing Missing Values, Types of Joins, Merge, Partitioning Data into Train and Test Set, and Scaling of Data.
- Group Summaries
- Managing Missing Values
- Various types of Joins, merge
- Partitioning data into train and test set
- Scaling of Data (useful for Clustering)
- Quiz Module 4
In this module, the candidate will learn how to Work with NumPy Arrays, which includes an understanding of Attributes, Indexing, Slicing, Reshaping, Joining, and Splitting of Arrays.
- Attributes of arrays
- Indexing of arrays
- Slicing of arrays
- Reshaping of arrays
- Joining and splitting of arrays
- Quiz Module 5
- Business Communication
- Preparation for the Interview
- Presentation Skills
- Resume Writing
Certification
Earn and Share Your Certificate
Official & Verifiable
Receive a signed and verifiable e-certificate from Unncap upon successfully completing the course.
Share Your Achievement
Post your certificate on LinkedIn or add it to your resume! You can even share it on Instagram or Twitter.
Stand Out to Recruiters
Use your certificate to enhance your professional credibility and stand out among your peers!
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Analytics Academy Course Admissions
How To Apply
Following are 3 simple steps in the admission process for the Certification in Python for Data Science
