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Advanced Data Science Certification Overview
Advanced Data Science Certification Course Outline
Module 1: Python for Data Analysis - NumPy
- Introduction to NumPy
- NumPy Arrays
- Aggregations
- Computation on Arrays: Broadcasting
- Comparison, Boolean Logic and Masks
- Fancy Indexing
- Sorting Arrays
- NumPy’s Structured Arrays
Module 2: Python for Data Analysis – Pandas
- Installing Pandas
- Pandas Objects
- Data Indexing and Selection
- Operating on Data in Pandas
- Handling Missing Data
- Hierarchical Indexing
- Concat and Append
- Merge and Join
- Aggregations and Grouping
- Pivot Tables
- Vectorized String Operations
- Working with Time Series
- Eval() and Query()
Module 3: Python for Data Visualization – Matplotlib
- Overview
- Object-Oriented Interface
- Two interfaces
- Simple Line Plots and Scatter Plots
- Visualizing Errors
- Contour Plots
- Histograms, Binnings and Density
- Customizing Plot Legends
- Customizing Color Bars
- Multiple Subplots
- Text Annotation
- Three-Dimensional Plotting
Module 4: Python for Data Visualization – Seaborn
- Installing Seaborn and Load Dataset
- Plot the Distribution
- Regression Analysis
- Basic Aesthetic Themes and Styles
- Distinguish between Scatter Plots, Hexbin Plots and KDE Plots
- Use Boxplots and Violin Plots
- Compare the Use Cases of Swarn Plots, Bar Plots Strip Plots, and Categorical Plots
- Recall Some of the Use Cases and Features of Seaborn
Module 5: Machine Learning
- Introduction
- Importance
- Types
- How Machine Learning Works?
- Machine Learning Mathematics
Module 6: Natural Language Processing
- Introduction to NLP
- NLP and Writing Systems
- Advantages
- NLP Applications
Module 7: Deep Learning
- Introduction
- Importance
- Working
Module 8: Big Data
- Big Data Analytics
- State of Practice in Analytics
- Main Roles for New Big Data Ecosystem
- Phases of Data Analytics Lifecycle
Module 9: Working with Data in R
- Data Manipulation in R
- Data Clean Up
- Reading and Exporting Data
- Importing Data
- Charts and Graphs
Module 10: Regression in R
- Regression Analysis
- Linear Regression
- Logistic Regression
- Multiple Regression
- Normal Distribution
- Binomial Distribution
Module 11: Modelling Data
- What are Relationships?
- Viewing Relationships
- Creating Relationships
- Cardinality
- Cross Filter Direction
- What is DAX?
- Syntax
- Functions
- Row Context
- Calculated Columns
- Calculated Tables
- Measures
Module 12: Shaping and Combining Data using Power BI
- Query Editor
- Shaping Data and Applied Steps
- Advanced Editor
- Formatting Data
- Transforming Data
- Combining Data
Module 13: Interactive Data Visualizations
- Page Layout and Formatting
- Multiple Visualization
- Creating Charts
- Using Geographic Data
- Histograms
- Power BI Admin Portal
- Service Settings
- Desktop Settings
- Dashboard and Report Settings
Who should attend this Advanced Data Science Certification Course?
This Advanced Data Science Certification Course in the United States is tailored for individuals seeking to enhance their expertise in the field of data science. This course is particularly beneficial for professionals such as:
- Experienced Data Analysts
- Data Scientists
- Machine Learning Engineers
- Statisticians
- Business Analysts
- AI Developers
- Entrepreneurs
- Researchers
Prerequisites of the Advanced Data Science Certification Course
There are no formal prerequisites for the Advanced Data Science Certification Course. However, having prior knowledge of multiple programming languages will be beneficial for the delegates.
Advanced Data Science Certification Course Overview
In today's data-driven world, the demand for professionals with expertise in data science is soaring, and this Advanced Data Science Certification in the United States stands as a beacon for individuals seeking to navigate the intricate landscape of data science. Covering critical topics such as NumPy arrays, regression analysis, machine learning mathematics, and more, this course provides a robust foundation for those eager to harness the power of data.
Business analysts, data engineers, software developers, and even executives can benefit significantly from mastering data science course in the United States. In an era where every bit of data holds invaluable insights, those well-versed in data science possess a distinct advantage. They can unravel complex patterns, make informed decisions, and drive innovation.
This 4-day Advanced Data Science Certification Course in the United States is designed to empower delegates with practical knowledge and hands-on skills. It delves into essential concepts such as working with time series, three-dimensional plotting, data analytics lifecycle phases, and data manipulation using Power BI. By the end of this training, delegates will emerge as adept data scientists capable of working with data at expert-level.
Course Objectives
- To provide a comprehensive understanding of basic and advanced data science concepts
- To equip delegates with practical skills in tools such as Pandas and Power BI
- To cover critical topics like NumPy arrays, regression analysis, and machine learning mathematics
- To empower business analysts, data engineers, software developers, and executives with data science proficiency
- To enable delegates to unravel complex patterns and make informed decisions through data-driven insights
- To ensure delegates emerge as adept data scientists capable of tackling real-world data challenges
Upon completion of this course in the United States, delegates will not only possess a solid foundation in data science but also practical skills in tools like Pandas and Power BI. This empowers them to analyze data effectively, make informed decisions, and contribute meaningfully to their organizations' success, providing a distinct advantage in today's data-centric professional landscape.
What’s included in this Advanced Data Science Certification Course?
- World-Class Training Sessions from Experienced Instructors
- Advanced Data Science Certificate
- Digital Delegate Pack
Why choose us
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Advanced Data Science Certification. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
Unlock your potential with The Knowledge Academy's Advanced Data Science Certification, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
What our customers are saying
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Advanced Data Science Certification FAQs
Advanced Data Science involves applying sophisticated algorithms and techniques to analyze complex data sets, uncover insights, and make data-driven decisions to solve intricate problems.
There are no formal prerequisites for the Advanced Data Science Certification Course. However, having prior knowledge of multiple programming languages will be beneficial for the delegates.
The benefits of Advanced Data Science Certification include acquiring advanced skills in data analysis, enhancing career prospects in the field of Data Science, gaining recognition as a proficient data scientist, and being better equipped to tackle complex data-related challenges.
If you face any issues in accessing the course materials, then you can reach out to our customer support team who will provide you with quick assistance to resolve the issue.
The duration of the Advanced Data Science Training Course is 4 days, providing comprehensive coverage of advanced data science concepts and methodologies.
Yes, we provide self-paced Advanced Data Science Training, allowing learners to study at their own pace and convenience.
With an Advanced Data Science Certification, individuals can pursue various roles such as Data Scientist, Machine Learning Engineer, AI Specialist, Data Analyst, Research Scientist, and more in industries like Finance, Healthcare, Technology, and Marketing.
Yes, we offer corporate training for Advanced Data Science Courses tailored to meet the specific needs and objectives of organizations.
In this Advanced Data Science Online Training Course, you will learn advanced data analysis techniques, Machine Learning algorithms, deep learning concepts, data visualization methods, and practical applications of Data Science in real-world scenarios.
This Advanced Data Science Training Course is ideal for Data Analysts, Data Scientists, Statisticians, Software Engineers, IT pRofessionals, Researchers, and anyone interested in advancing their skills in Data Science and analytics.
The training fees for Advanced Data Science Certification certification in the United States starts from $4395
The Knowledge Academy is the Leading global training provider for Advanced Data Science Certification.
Please see our Data Science Courses courses available in the United States
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Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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