Data Analytics with Python

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₹8,999.00 ₹4,999.00
data analytics course online
  • 0 student
  • 0 lessons
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  • 60 hour duration
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We introduce learners to data analytics online course through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.

You will use different tools for different projects in this data analytics online course. You will experience the full workflow as a data analyst. After the course, you will have extensive experience on what are the common task and operations as an data analyst.

  • Python basics

    1. Flow control, List, tuples, dictionary, functions, strings 2. Introduction to Jupyter

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  • MODULES AND PACKAGES

    1. Modules 2. Importing Modules 3. Standard Modules- sys 4. Standard Modules- OS 5. The dir Function 6. Packages 7. Assignments and case studies

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  • EXCEPTION HANDLING

    1. Errors 2. Run Time Errors 3. Handling IO Exception 4. Try....except statement 5. Raise 6. Assert 7. Assignments and case studies

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  • FILES AND DIRECTORIES

    1. Writing Data to a file 2. Reading data from a file 3. Additional file methods 4. Working with files 5. Working with Directories 6. The pickle Module 7. Assignments and case studies

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  • NUMPY AND SCIPY MODULE (Data Analytics)

    1. N-Dimensional Array Object 2. Array Slicing Methods 3. Array reshaping methods 4. Numerical routines in NumPy 5. 2D Arithmetic 6. Array Processing 7. Universal Array Function 8. Array Input and output 9. Assignments and case studies

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  • MULTITHREADING

    1. Introduction 2. Starting New Thread 3. Search function 4. Threading Module 5. Synchronizing Threads 6. Match Object 7. Multithreaded Priority Queue 8. Assignments and case studies

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  • PYLAB MATPLOTLIB AND PANDAS (Data Visualization)

    1. Introduction To matplotlib and pandas 2. Python 2D plotting 3. generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots 4. 3D Graph 5. Pandas data structures and data analysis 6. Descriptive Statics 7. Pandas-reindexing, sorting, iteration 8. Working with text data 9. Pandas-Merging/Joining ,Groupby ,Concatenation 10. Assignments and case studies

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  • DATABASE IN PYTHON

    1. Connection 2. Cursor 3. SQLite DB 4. CRUD Operations 5. MySql Database 6. Assignments and case studies

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₹8,999.00 ₹4,999.00