Data Science with Python
Build your Machine Learning Model with the help of Data Visualization and Analytics from IIHT Surat. Learn Numpy, Pandas, IPython, and Matplotlib.
Data Science with Python
Data Visualisation and Analytics course from IIHT Surat is designed to help Learners master data analysis by deploying various techniques, and algorithms by understanding and applying these features in real-time scenarios. Upon completing the Data Visualisation and Analytics course from IIHT Surat learners will be able to analyze data by applying various techniques and find relative patterns to predict outcomes on a variety of data sets. Learners pick up the skills to analyze continuous data in different scenarios by obtaining the right set of text and apply required analytics. The interactive, instructor led course trains one for data analytics certifications. Data Visualisation and Analytics is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
IIHT SURAT provides Online Course Classes for your flexibility and real-world practices!
Looking for more details? Or want to join? Just Email us at admin@iihtsrt.com. IIHT SURAT training centers are located in at Adajanand Ring Road Surat. You can also visit your nearest IIHT SURAT center to get a free Data Visualisation and Analytics Training Course demo!
IIHT Surat offers high-quality live project training for final year GTU – Gujarat Technological University students to build and complete your projects and get high scores to exams. It is 100% Practical Assignment! IIHT Surat is Best Live Project Training Institute for BE. Diploma, MCA, BCA, Msc – IT, Bsc – IT, Final Year GTU University and VNSGU University Students with Industrial Training.
Data Visualisation and Analytics Training Certification
Course Completion Certificate provided after the completion of the Data Visualisation and Analytics Training. The IIHT Surat Certificate is valid for any industry.
Learning Outcomes
- Analyze and find patterns in data by applying various techniques
- Expert in Confirmatory Data analysis
- Analyze continuous data by applying various testing, regression, and correlation scenarios
- Implement key components specific to text mining and analytics aided by the real world datasets and text mining
- Demonstrate expertise in predicting outcomes
- What is Data?
- Types of Data
- Managing the Data
- Fetching Data (Data Mining)
- Data Manipulation
- Data Cleaning & Wrangling
- Data Transformation
- Data Validation
- Data Visualization
- Numpy
- Pandas
- Jupyter
- Google CoLab
- Matplotlib / Plotly
- Seaborn
- ndArray
- Data Types
- Shapes
- Choosing Best tools and plugin for UI Development
- Index
- Slicing
- Joining
- Spliting
- Sorting
- Filter
- Transformation
- Manipulation
- Fetching
- What is Pandas & its Advantages?
- Data Structure
- Series
- Panel
- DataFrame
- Indexing
- Sorting
- Group by Data
- Missing Data
- Merging / Joining
- Iteration
- Validation
- Cleaning & Wrangling Data
- What is visualization
- Advantages of Data Visualization
- What is Matplotlib & Plotly chart
- What is seaborn chart
- Data visualization Techniques
- Matplotlib / Plotly
- Scatter Chart
- Counts Chart
- Bar Chart
- Histogram Chart
- Barplot Chart
- Seaborn
- Heatmap
- Histogram
- BarPlot
- Density Plot
- Violin plot
- 3D Graph
- What is iPython
- How to make Jupyter interactive?
- Jupyter theme
- Audio / Video widgets
- Image widgets
- Date & color widgets
- Button widgets
- Use of HTML / CSS in Jupyter notebook
Data Science with Python
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Admission process
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- 1
Free Demo Class
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- 2
Fees Payment
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- 3
Document Submission
Upload the necessary documents & submit your application.
- 4
Admission
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