List of Best Data Analytics Courses On LinkedIn With Certificates

November 2, 2024 Richa Singh

Data analytics involves the practice of extracting meaningful insights and patterns through the process of examining, transforming, and interpreting large data sets in order to help business organizations to make informed decisions. It includes the use of various statistical techniques and tools to derive valuable information from complex data sets. Being one of the oldest social media networks, LinkedIn is one of the best platforms for connecting professionals and business organizations. Besides being a networking platform for professionals, LinkedIn also offers some great courses on Data Analytics which help professionals to develop new skills and enhance their knowledge. Here is the list of some well-known Data Analytics Courses on LinkedIn:

1. “Excel: Advanced Formulas and Functions” by Dennis Taylor:

“Excel: Advanced Formulas and Functions” by Dennis Taylor is one the top-ranked data analytics courses on LinkedIn which emphasizes making individuals learn advanced techniques for working with formulas and functions in Microsoft Excel.

With a duration of 4 hours and 47 minutes, this course includes 3 project files, 9-chapter quizzes, and a LinkedIn learning certificate after the completion.

It includes a wide range of topics such as- Logical & lookup functions, Array formulas, Text and information functions, Date and time functions, Statistical functions, financial functions, Conditional formatting, working with named ranges and dynamic formulas and Troubleshooting formula errors and common pitfalls. Individuals can buy this course at INR1599.99 on LinkedIn.

2. “Python for Data Science Essential Training” by Lillian Pierson:

“Python for Data Science Essential Training” by Lillian Pierson is one of the most famous data analytics courses on LinkedIn which provides a diversified introduction to Python programming for data science purposes.

“Python for Data Science Essential Training” includes a wide range of topics such as Python Fundamentals, Data manipulation with Python, Data analysis and visualization, Data cleaning, and processing, Introduction to machine learning, Model evaluation and selection, working with databases and SQL, Building a complete data science project.

The course has been updated and expanded to provide more hand on experience with Python than previously. With a duration of 6 hours and 2 minutes, this course comprises 1 project file, 7-chapter quizzes, and a certificate of completion. Students can learn this course by paying INR 1599.99 on LinkedIn.

3. “Data Fluency: Exploring and Describing Data” by Barton Poulson:

With a duration of 4 hours and 19 minutes “Data Fluency: Exploring and Describing Data” by Barton Poulson emphasizes the basic fundamentals of data fluency. This course is for decision-makers from every industry who want to learn the basic concepts of applied data analysis.

The course includes 4-chapter quizzes, one project file, and a certificate of completion. It explains all the steps and techniques to prepare data, explore it visually and apply statistical tools and methods to describe it. This course is available at INR 1150.00 at LinkedIn Learning.

4. “Tableau Essential Training” by Curt Frye:

Tableau is a famous data visualization and business intelligence tool, and “Tableau Essential Training” by Curt Frye emphasizes teaching its fundamental concepts and techniques. This course covers a wide range of topics such as- Introduction to Tableau, Data preparation, building visualizations, applying circulations and analytics, enhancing visualizations, building dashboards and stories, sharing Tableau workbooks, and publishing Tableau server or Tableau public.

In this course, real-world examples are demonstrated in order to teach individuals how to create and manipulate data visualizations. With a duration of 4 hours and 19 minutes, this course includes 2 project files, 12-chapter quizzes, and a certificate of completion. This course is available at INR 1150.00 for data enthusiasts on LinkedIn Learning.

5. “Learning Data Analytics” by Robin Hunt:

“Learning Data Analytics” by Robin Hunt is a perfect course for individuals who want to build their careers in the field of data analytics. This course explains the basic concepts of data analysis and the tools required to work with data such as Excel and Microsoft Access.

This course includes a wide range of topics such as Introduction to data analysis, Fundamentals of data understanding, Key Elements to understand when to start data analysis, Data Project, Data Importing, exporting and Connections, Data Cleaning, and Modeling, Applying common techniques for all Data Analysts. With a duration of 3 hours and 29 minutes, this course is available for free on LinkedIn.

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6. “Data Science Foundations: Data Mining” by Barton Poulson:

Data mining refers to the process of exploring, collecting, and filtering raw and complex data, in order to provide clean data. Data mining enables individuals to derive meaningful insights from large and complicated data sets.

In this course, Barton Poulson explains the fundamental concepts of data mining, tools, and techniques applied for data mining, such as- text mining, data clustering, association analysis, etc. This course also covers software and languages such as R and Python used in data mining.

“Data Science Foundations: Data Mining” by Barton Poulson is a perfect course for data science enthusiasts who want to obtain more experience and build a successful career in the field of data science. With a duration of 4 hours and 40 minutes, this course is available at INR 899.99.

7. “Learning Hadoop” by Lynn Langit:

Hadoop is an essential framework that is required for the storage of large data sets and “Learning Hadoop” by Lynn Langit covers its fundamental concepts, key file systems used, programming tools, and much more.

This course covers a wide range of topics such as Introduction to Hadoop, setting up a Hadoop cluster, working with Hadoop, MapReduce Programming, Hadoop ecosystem, advanced Hadoop topics (data ingestion, data processing pipelines, and performance optimization).

With a duration of 4 hours and 6 minutes, this course includes 1 project file, 12-chapter quizzes, and a certificate of completion. Individuals can learn this valuable course by paying INR 899,99 on LinkedIn.

8. “SQL Essential Training” by Bill Weinman:

With a duration of 3 hours, this course covers all the major features of SQL (Structured Query Language) which is the most common language used for interacting with relational databases. “SQL Essential Training” by Bill Weinman includes various topics such as: Introduction to SQL, retrieving data with SELECT, joining tables, Grouping and aggregating data, modifying data, creating and altering database structures, Subqueries, and views, Advanced SQL topics (Indexing, Transactions, and stored procedures).

The final chapter of this course involves practical examples of building simple apps using SQL. Through this course, individuals can develop a strong base in SQL and obtain the required skills to work with relational databases.

9. “Data Science Foundations: Fundamentals” by Barton Poulson:

With a duration of 5 hours and 17 minutes “Data Science Foundations: Fundamentals” by Barton Poulson covers the basics of data science and its non-technical aspects like- skills, jobs, vocabulary, tools, and techniques. It includes a wide range of topics such as- Introduction to data science, Data exploration and visualization, Data cleaning and pre-processing, statistical analysis, Machine learning, Data ethics and privacy, Data storytelling, and communication.

Through this course, Barton Poulson explains how data science can help individuals in making informed & better decisions, and obtain valuable insights. Learners can purchase this course at INR 899.99 from LinkedIn.

10. “Advanced SQL for Data Scientists” by Dan Sullivan:

“Advanced SQL for Data Scientists” by Dan Sullivan is for individuals who want to gain high-level knowledge of SQL. This course includes topics like- Introduction to advanced data techniques for data science, Data Modelling: Tables, Data Modelling: Indexes, Query Optimization, User-defined Functions, and Special-Purpose Functionality.

Dan Sullivan explains how to effectively analyze large data sets using SQL, statistics, and custom business logic. With a duration of 2 hours and 30 minutes, this course involves one project file, 5-chapter quizzes, and a certificate of completion. It is available at the value of INR 899.99 for learners who want to obtain deep learning of SQL.

Job Opportunities in the Field of Data Analytics-

Some of the job opportunities in the field of data analytics are:

Data Analyst: Data analysts are the professionals who are responsible for collecting and interpreting raw data in order to find solutions for complex business problems. The most common tools used by Data Analysts are- Microsoft Excel, Google Sheets, Tableau, R or Python, SAS, Microsoft Power BI, and Jupyter Notebooks. They are in high demand these days across various sectors such as business, finance, medicine, science, government, and many more. They play an important role in extracting valuable insights from complex data and helping a business organization make well-informed decisions.

Data Scientist: Data scientists are individuals who apply statistical tools and techniques for making predictions, finding patterns, and solving complex problems. They have expertise in Big Data Analytics, SAS, SQL, R, and Data mining techniques. They play an important role in collecting large sets of raw data, solving business-related complex issues, communicating with stakeholders to identify business needs, and identifying trends that can help in an organization’s growth.

Business Analyst: Business Analysts are the professionals who are responsible for analyzing current patterns, interpreting business needs, identifying areas of improvement in an organization, and proposing a plan of action for enhancement. They have exceptional communication and social skills which enables them to effectively collaborate with the stakeholders, gather all the requirements, and communicate organizational goals to them. In their career, Business Analysts keep facing new challenges every day and finding new ways to put their expertise into practice. The demand for business analysts is high these days and is expected to grow in the future as well.

Data Engineer: Data Engineers are the individuals who are involved in the process of planning, developing, and managing the infrastructures and systems required for the storage and processing of large numbers of datasets. They apply technologies like Apache, Hadoop, and Spark and use programming languages such as Python, Java, and SQL for processing complex data. In today’s data-driven world, the demand for Data Scientists is increasing rapidly in various sectors like- finance, healthcare, technology, and more.

Database Administrator: A database administrator is responsible for managing, optimizing, and maintaining databases within an organization in order to ensure that they are secure, reliable, and performant. They work closely with stakeholders, system developers, administrators, and business users for designing, implementing, and managing database systems in order to meet the organization’s requirements and goals. Database systems like Oracle, MySQL, SQL Server, and PostgreSQL are used by Database Engineers for enhancing the performance of databases. With their expertise in SQL query optimization, database tuning, and indexing they play an important role in maintaining data integrity and security within an organization.

Data Architect: Data Architects are the professionals who are involved in designing and creating the overall structure of data systems for a business organization. They play an important role in ensuring that the data infrastructure is well aligned with the requirements and goals of an organization, also it is organized and accessible to the stakeholders for better decision-making. They establish data governance policies and standards to ensure data security integrity and consistency.

Data Visualization Specialist: Data visualization specialists are professionals who are skilled in creating visual representations of complex data for the stakeholders of a business organization. They are experts in applying tools like Tableau and Power BI or using Python libraries such as Matplotlib and Seaborn in order to create interactive visuals of complicated datasets. Their strong communication and technical skills enable them to work closely with business stakeholders, data analysts, and data scientists for transforming complex data into easily understandable charts, graphs, and infographics. Data scientists play a crucial role in simplifying complex information and deriving meaningful insights from the data sets within an organization which enables the stakeholders to make data-driven decisions.

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Benefits of the Data Analytics Courses on LinkedIn-

There are several advantages to taking data analytics courses on LinkedIn Learning. Here are some of the essential benefits:

Access to high-quality and Up-to-Date courses: LinkedIn Learning courses are developed and provided by experts who have a relevant experience in the field of data analysis ensuring the credibility and accuracy of the courses. Individuals who want to achieve success in the field of data analytics can gain great benefits from these courses.

Flexibility and convenience: The courses available on LinkedIn Learning are self-paced and learners can access these courses anytime according to their convenience. This helps individuals to learn data analytics at their own pace without disturbing their work or other commitments. Students can learn the program at their own speed and access the study material whenever they want.

Cost-effective: Data analytical courses available on LinkedIn are much more cost-effective than the courses offered on campus. Learners can attain valuable knowledge and skills in the field of data analytics without going out of their budget. The study material can be accessed by the students as many times as they want after purchasing the course at the prices which fit in their pockets.

Variety of Courses: A wide range of data analytical courses is available on LinkedIn and learners can choose these courses according to their skills, budget, and needs. The courses offered are for beginners, intermediate and advanced levels and individuals can select these courses as per their requirements and skills.

Industry Recognized Certification: Most of the data analytics courses on LinkedIn offer certificates after completion which can serve as a valuable credential to enhance the professional profiles and can be beneficial for career advancement in the field of data analytics. Individuals can showcase their expertise and gain job opportunities by showing these certifications in their professional profiles.

Relevant Skills: Data Analytics courses available on LinkedIn are designed to provide students with updated and advanced skills in the field of data analytics. As the field of data analytics is rapidly progressing, with new tools and technologies emerging, these courses offer learners opportunities for updated learning and skill development which enables them to expand their knowledge and expertise in this domain.

Global Community: LinkedIn offers a great platform for individuals for connecting with industry experts, professionals, and fellow learners at a global level. It enables the learners to develop a strong professional network through these courses, as they connect, communicate, and engage in discussions with professionals from all parts of the world.

Data Analytics courses on LinkedIn are an economical and convenient way for individuals to attain valuable knowledge and skills. Learners who want to achieve success in the field of data analytics can gain numerous benefits from these courses as they offer industry-relevant certifications, hands-on learning experiences, and networking opportunities.

Here Are Some Frequently Asked Questions Related to Data Analytics Courses on Linkedin:

1. Do I need any prior experience in data analytics to take courses on LinkedIn?

Data analytics courses available on LinkedIn are mostly divided into three level categories beginner level, Intermediate level, and Advanced level. Intermediate and Advanced level courses may require an experience and knowledge of data analytics; however, beginners level courses do not require any prior experience as they cover basic fundamentals of data analytics and provide step-by-step guidance to the learners. It is always preferable to check all the requirements before enrolling in these courses.

2. Can I take data analytics courses on LinkedIn for free?

Most of the data analytics courses available on LinkedIn require a subscription or fee. However, sometimes LinkedIn offers a free trial period for new users during which they can explore its courses and catalog. Here are some of the free data analytics courses with certifications available on LinkedIn-

Learning Data Analytics:1 Foundations;
Data Fluency: Exploring and Describing Data (2019)
Excel Statistics Essential Training: 1
Learning Excel: Data Analysis
Learning Data Visualization

3. What skills can I learn from data analytics courses on LinkedIn?

Learners can gain multiple sets of skills from the data analytics courses on LinkedIn. These courses can help individuals to attain expertise in data visualization, data manipulation, statistical analysis and programming languages like Python and R. Statistical methods and techniques learned in these courses enable individuals to derive meaningful insights and make data-driven decisions. These courses also cover business intelligence tools like Tableau, Power BI, and Google Data Studio which provide learners with the skills of creating interactive visualizations and reports.

4. What is the duration of a typical LinkedIn Learning course?

Data Analytics courses on LinkedIn can differ depending on their course content, topics, and instructional approach. The length of these courses can range from a few minutes to several hours.

5. Are the Data Analytics courses on LinkedIn self-paced?

Yes, the data analytics courses on LinkedIn are self-paced which individuals can learn at their own speed and convenience. These courses provide students with the flexibility of learning the program with balancing their work and other commitments. Students can start, stop, pause, and rewind the videos according to their pace and speed of learning.

Conclusion-

Individuals have access to a wide range of data analytics courses on LinkedIn and these courses can help them to develop their skills and gain expertise in the data analytical world. Individuals can gain practical knowledge, hands-on learning experience, and industry-relevant skills by enrolling in these courses. Data analytics courses on LinkedIn are flexible and self-paced which enables learners to study at their own pace and convenience.

The flexibility allows students to learn data analytics along with their busy schedules and revisit the course material whenever needed. These courses are pocket friendly and provide students with numerous data analytical skills and valuable knowledge. LinkedIn Learning can be of massive advantage for individuals who want to achieve success in the domain of data analytics.

By enrolling in data analytics courses on LinkedIn you can learn the skills of working with complex data effectively, derive valuable insights and make data-driven decisions. Whether you are a beginner, or an experienced data enthusiast LinkedIn is a great platform for you to learn data analytics.

Vaibhav Kakkar