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| Learn Data Interpretation |
Data Analysis and Interpretation Specialization move you from data newbie to data expert.
Basic data science tools, such as data management and visualization, modeling, and machine learning - Python, etc are very essential.
Learn the best Data Interpretation Course to build your own career on Midigiworld.
How To Learn The Best Data Interpretation Course To Build Your Own Career
Course Category
CAREER DEVELOPMENT
Sub-category
DATA INTERPRETATION
Course Names
Here are THREE courses to make you a Data Interpretation Expert
COURSE A - "Bring life to your data - Visualize Data Effectively" Instructed by RAGHAVENDER RAO.
Sessions:
Session 1 - Introduction to Power BI
Session 2 - Transform data using Power Query - 1
Session 3 - Transform data using Power Query - 2
Session 4 - Transform data using Power Query - 3
Session 5 - Data Modelling
Session 6 - Introduction to DAX Functions
Session 7 - Important DAX Functions Part 1
Session 8 - Important DAX Functions Part 2
Session 9 - Creating Dashboard Part 1
Session 10 - Creating Dashboard Part 2
After class, you will be capable of doing :
1. What is BI.
2. Why data Visualization is important
3. What all the Data Visualization tools
4. Power Query
5. Data Modelling
6. DAX Functions
7. Creating Charts
8. Creating Interactive Dashboards
9. Data Visualization
Rules of Participation:
- Computer skills and a basic understanding of Excel are required.
- Participate actively.
- A strong internet connection is required.
Course Description:
Power BI is a Microsoft cloud-based business analytics application that allows anyone to visualize and analyze data more quickly and efficiently. Power BI Desktop is the software utilized in this training. Microsoft Windows 7 and higher versions of Windows are required for this course.
Course is for
Beginners
Course Language
English
For Age Group of
15-65 Years
Course Duration
60 Minutes for each session (total 600 Minutes)
COURSE B - "All about Data Structures - Basic structure to store and retrieve data" Instructed by Parthasarathi Murugesan.
Parthasarathi Murugesan has completed graduation in Computer Science and a post-graduation in Computer Science and Information Technology from Madurai Kamraj University.
He is working currently as a Project Manager in Domain Consultant at Tata Consultancy Services.
He enjoys listening to gentle music and eating non-vegetarian cuisine. Basketball and cricket are two of his favorite sports. He would prefer to spend more time with children.
Sessions:
Session 1 - Introduction to Data Structure
Session 2 - Dynamic Memory Allocations
Session 3 - Array as Data Structure
Session 4 - Stack as Data Structure
Session 5 - Application of Stack
Session 6 - Infix, prefix, and postfix conversations
Session 7 - Queues and type of Queues
Session 8 - Understanding Circular Queue
Session 9 - Understanding Double-ended Queue
Session 10 - Linked List and its memory representations
Session 11 - Operations on a single linked list
Session 12 - Operations on double linked list
Session 13 - Non-linear structures & memory representations
Session 14 - Constructing Trees & binary tree traversal
Session 15 - Constructing binary search tree & traversal
Session 16 - Conclusion of course
After class, you will be capable of doing :
Students will be able to choose which data structure is optimal for solving data-related problems and storing and retrieving data at a given moment.
Rules for Participation:
- Should be familiar with a programming language, preferably "C."
- Internet access should be available to the pupils.
- Students should bring a pen and a notepad with which to take notes.
Course Description:
This course explains which data formats or structures should be utilized to store and retrieve data more quickly and precisely. Any version of Turbo C will be utilized in this course. Microsoft Windows 7 and higher versions of Windows are required for this course.
Course is for
Beginners
Course Language
Tamil
For Age Group of
15-65 Years
Course Duration
60 Minutes for each session (total 960 Minutes)
COURSE C - "All about Data science - Data science using Python" Instructed by Khaleel Basha.
Sessions:
Session 1 - Introduction to Data Science
Session 2 - Introduction to Python & Installation
Session 3 - Basics of Python - Part 1
Session 4 - Basics of Python - Part 2
Session 5 - Introduction to Numpy
Session 6 - Data Manipulation using Pandas
Session 7 - Data Visualization Part 1
Session 8 - Data Visualization Part 2
Session 9 - Introduction to Stats
Session 10 - Descriptive Stats - Part 1
Session 11 - Descriptive Stats - Part 2
Session 12 - Inferential Statistics - Part 1
Session 13 -Inferential Statistics - Part 2
Session 14 - Introduction to Machine Learning
Session 15 - Introduction to Exploratory Data Analysis
Session 16 - Supervised Learning - Part 1
Session 17 - Supervised Learning - Part 2
Session 18 - Supervised Learning - Part 3
Session 19 - Supervised Learning - Part 4
Session 20 - Unsupervised Learning - Part 5
After class, you will be capable of doing :
- Will get proficient in Python skills.
- Skills of Math and statistics abilities.
- Skills of Analyzing abilities.
- Find out more about machine learning.
Participation Rules:
- Basic knowledge of programming is required.
- A basic understanding of maths is required.
- A computer or laptop is required.
- A decent internet connection is required.
Course Description:
Learners will be able to analyze data using various strategies in this course. Learn about the growing market demand for data science expertise. Develop high-paying talents by mastering programming and machine learning languages.
Course is for
Intermediate
Course Language
English
For Age Group of
25-65 Years
Course Duration
60 Minutes for each session (total 1200 Minutes)
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