Data Science
Here are some prerequisites to get familiar with Data Science.
- Knowledge of at least one programming language (Python, R, Matlab, etc)
- Concepts of Statistics (Descriptive and Inferential statistics)
- Data analysis
- Different Mining Techniques (Clustering, Classification, etc)
- Machine Learning
- Deep Learning
- Get familiar with basic Data Structures in python
- Learn about different libraries and packages (Numpy, Pandas, Matplotlib, Seaborn, Scikit, etc)
- Understand Descriptive and Inferential statistics
- Learn to understand and analyze a dataset
- Learn different Machine Learning techniques through python
- Learn different Deep Learning techniques through python
Web Development
Eager to learn Web Technologies?
Below are some topics to dive deep into Web Development.
Below are some topics to dive deep into Web Development.
Android App Development
Interested in App Development? With the increasing usage of the smartphone, there is a huge demand for Android / IOS /Crossed platform App developers.
Follow the below steps to become an expert in Android App Development.
Follow the below steps to become an expert in Android App Development.
- Basic Idea of Android studio 3.Different Media accessing (Photos, videos, audios, etc)
- Basic Java Programming
- Different Media accessing (Photos/videos/audios..etc)
- Advanced Android features
- Different Storages and integration with databases
- Crossed Platforms
Data Warehouse
Not much interested in programming? But want to work with the data? Why not try Data Warehousing? Here are some topics to get familiar with data warehousing.
- Introduction to Data warehouse
- Introduction to Business Intelligence
- Data warehouse and Architecture
- Operational data store (ODS) / DWH/ OLTP/OLAP
- Data Mart
- Data Modelling Techniques
- Entity Relation Data (ERD) Model
Extract Transfer and Load (ETL). Below are the most commonly used ETL Tools used in industries.
Block Chain
Blockchain Technology is one of the emerging technologies. Which has wide scope and demand in the market. To be familiar with Blockchain you need to follow steps.
Before going forward Blockchain is purely technical and one should have coding skills. As a prerequisite you must be familiar with java, JavaScript, NodeJS language. You should have an idea on the containerizing platform like (PaaS).
Introduction to Blockchain
1. Transactions
2. Types of Network
3. Distributed Network
4. Ledgers
Blocks
Blockchain
5. Introduction of Cryptocurrency Basics of Cryptography
6. Different cryptographic techniques
a. Hashing
b. Digital Signatures
c. Public and Private key in transactions
7. Consensus and Different Consensus protocols
Proof of work (PoW)
Proof of stake (PoS)
Proof of capacity
Proof of Elapsed Time
Practical Byzantine Fault Tolerance (PBFT)
Blockchain Mechanism
Structure of Blockchain
Basic Terminologies:
Block
Hash
Smart contracts
Genesis Block
Consensus algorithms
Double spending
Mining
Different Actors in Blockchain:
Blockchain developer
Blockchain operator
Blockchain regulator
Blockchain user
Different cryptocurrencies:
Ethereum:
Terminologies:
EVM
Gas
Smart contracts
Transaction fee
Ether
Smart Contracts implementation
Solidity Language
Redmix compiler
Developing Environments
Truffle
Decentralized applications
Decentralized Autonomous organization (DAO)
Blockchain Frameworks
Importance of hyperledger
Chaincode and it’s impotrance
Implementation of chaincode
Hyperledger Fabric
Fabric model
Big Data
If you are new to bigdata. It’s always suggested to start from the basics.
Hadoop Ecosystem
Hadoop Ecosystem
High Performance Engines
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