Infosys Springboard, a renowned leader in digital skill development, is offering a selection of the top 3 free data analytics courses with certifications available in 2024. This is your chance to gain the essential skills and knowledge needed to become a data analyst, all at absolutely no cost!
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About the Infosys
Infosys Limited is an Indian multinational information technology company that provides business consulting, information technology and outsourcing services. The company was founded in Pune and is headquartered in Bangalore Infosys is the second-largest Indian IT company, after Tata Consultancy Services, by 2020 revenue figures.
On 24 August 2021, Infosys became the fourth Indian company to reach US$100 billion in market capitalization. It is one of the top Big Tech (India) companies
Infosys was founded by seven engineers in Pune, Maharashtra, India. Its initial capital was $250. It was registered as Infosys Consultants Private Limited on 2 July 1981. In 1983, it relocated to Bangalore, Karnataka.
The company changed its name to Infosys Technologies Private Limited in April 1992 and to Infosys Technologies Limited when it became a public limited company in June 1992 It was renamed Infosys Limited in June 2011.
An initial public offering (IPO) was floated in February 1993 with an offer price of ₹95 (equivalent to ₹690 or US$8.60 in 2023) per share against a book value of ₹20 (equivalent to ₹150 or US$1.80 in 2023) per share. The IPO was undersubscribed but it was “bailed out” by US investment bank Morgan Stanley, which picked up a 13% equity stake at the offer price. Its shares were listed in June 1993 with trading opening at ₹145 (equivalent to ₹1,100 or US$13 in 2023) per share.
Infosys shares were listed on the Nasdaq stock exchange in 1999 as American depositary receipts (ADR). It became the first Indian company to be listed on Nasdaq.[citation needed] The share price surged to ₹8,100 (equivalent to ₹35,000 or US$440 in 2023) by 1999, making it the costliest share on the market at the time. At that time, Infosys was among the 20 biggest companies by market capitalization on the Nasdaq. The ADR listing was shifted from Nasdaq to NYSE Euronext to give European investors better access to the company’s shares.
Eligibility Criteria
This Infosys Course of Any college with any stream.
Here Are the Top 3 Best Free Data Analytics Courses With Certification
1. Machine Learning Course
Machine learning (ML) is a fascinating subfield of artificial intelligence (AI) that focuses on developing algorithms that can learn from data without being explicitly programmed. Imagine teaching a computer to improve at a game like chess by analyzing millions of past games instead of writing out every possible move. That’s the core concept behind machine learning.
Here’s a breakdown of key aspects of machine learning:
Learning from Data: Unlike traditional programming, where you provide step-by-step instructions, machine learning algorithms learn by analyzing large datasets. They identify patterns and relationships within the data, allowing them to make predictions or decisions on new, unseen data.
Types of Machine Learning: There are two main categories: supervised and unsupervised learning.
Supervised Learning: Imagine training a student with labeled examples. In supervised learning, the data is labeled (e.g., “cat” or “dog” for images) and the algorithm learns to map the inputs (image) to the desired outputs (labels).
Unsupervised Learning: Here, the data is unlabeled, and the algorithm discovers hidden patterns within it. For example, an unsupervised algorithm might group similar customer purchase behaviors together to identify buying trends.
Applications of Machine Learning: Machine learning is revolutionizing various industries. From recommending products on e-commerce sites to powering self-driving cars, its applications are vast and ever-growing.
Here are some of the benefits of machine learning:
Improved Efficiency: Machine learning can automate repetitive tasks and analyze data faster than humans, leading to increased efficiency and productivity.
Data-Driven Decisions: By uncovering hidden insights in data, machine learning empowers businesses to make informed decisions based on real-world trends and patterns.
Personalized Experiences: Machine learning personalizes user experiences across various platforms, from suggesting movies on streaming services to tailoring content on social media feeds.
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2. Structured Query Language (SQL) Course
Structured Query Language (SQL) is a powerful and standardized language used to interact with relational databases. Think of it as a special set of instructions you can use to communicate with a database and manage the information stored within. Here’s a breakdown of what SQL is all about:
Structured Language: SQL uses a specific syntax with keywords and commands that are arranged in a particular order. This structure ensures clarity and consistency when interacting with databases.
Relational Databases: SQL is primarily designed for relational databases, which store data in tables with rows and columns. Each row represents a record, and each column represents a specific attribute of that record. Imagine a table storing customer information; each row would be a customer, and columns might include details like name, address, and email.
Database Management Tasks: With SQL, you can perform various tasks on a relational database, including:
Data Retrieval (SELECT): This is the most common operation. You can use SQL to retrieve specific data from a database table based on certain criteria. Imagine filtering a customer list to find all customers living in a particular city.
Data Manipulation (INSERT, UPDATE, DELETE): SQL allows you to add new data to a table (INSERT), modify existing data (UPDATE), or remove unwanted data (DELETE).
Data Management: You can create new tables, define relationships between tables, and control access to data using SQL commands.
Here are some of the benefits of using SQL:
Versatility: SQL is a widely used language compatible with most relational database management systems (RDBMS) like MySQL, Oracle, and PostgreSQL.
Efficiency: SQL provides a structured and efficient way to retrieve and manipulate data within databases.
Data Analysis Powerhouse: SQL can be used for complex data analysis by filtering, grouping, and aggregating data, making it a valuable tool for data analysts and business intelligence professionals.
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3. Business & Data Analytics Course
Business & Data Analytics (B&DA) is a dynamic field that bridges the gap between the business world and the ever-growing realm of data. It equips professionals with the skills to extract valuable insights from data, translate those insights into actionable strategies, and ultimately drive better business decisions.
Here’s a deeper dive into what B&DA entails:
Understanding Business Needs: At its core, B&DA goes beyond just crunching numbers. It involves understanding the specific challenges and goals of a business. B&DA professionals work closely with different departments to identify key questions and translate them into data-driven problems.
Data Acquisition and Wrangling: Raw data is rarely clean and organized. B&DA professionals possess the skills to collect data from various sources, clean it to remove inconsistencies, and transform it into a usable format for analysis.
Data Analysis and Visualization: Once the data is prepared, the magic happens! B&DA professionals leverage various analytical tools and techniques to identify trends, patterns, and relationships within the data. They then transform these insights into clear and compelling visualizations like charts and graphs, making complex data easily understandable for both technical and non-technical audiences.
Storytelling with Data: Numbers can be powerful, but presenting them effectively is key. B&DA professionals go beyond just presenting data; they tell a story with it. They communicate insights in a clear and concise way, highlighting their business significance and recommending actionable strategies based on their findings.
Benefits of Business & Data Analytics:
Data-Driven Decision Making: B&DA empowers businesses to make informed decisions based on real-world data rather than intuition or guesswork. This leads to improved efficiency, reduced costs, and increased profitability.
Identifying Opportunities: Data can reveal hidden trends and patterns that might not be readily apparent. B&DA helps businesses identify new opportunities for growth, product development, and market expansion.
Competitive Advantage: In today’s data-driven world, businesses that can effectively leverage data analytics gain a significant competitive edge. B&DA allows them to understand their customers better, personalize offerings, and optimize their operations for maximum impact.
Who are Business & Data Analysts?
Business & Data Analysts are the wizards behind the B&DA curtain. They come from diverse backgrounds with a blend of business acumen, analytical skills, and technical knowledge. They wear many hats, working closely with various teams within an organization to translate data into actionable insights for business success.
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How To Apply?
How To Apply For Infosys Offering Top 3 Best Free Data Analytics Courses With Certification
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