Top 10 Data Science Free Courses for Beginners 2024

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Data Science is a field where insights and information from several resources can be compiled to give meaningful information. With upgraded technology, methods, processes, and algorithms are integrated to extract information from structured and unstructured data as per the current industrial requirement. The main objective is to uncover hidden information from raw data. Data plays a key role in decision-making and analyzing overall performance and productivity in an organization. Thus, Data plays a helpful tool in making strategic decisions to boost business performance and growth. In many sectors, data plays a vital role in various apps, machine learning, and systems thus smoothing the process. Data science and analysis help to solve complex data issues or queries quickly and accurately. Enhance Data Science Skills to meet the current requirements in the industry,  you can pursue the best Data Science Courses to make the job easier and give optimum results.  Similarly, there are various applications, software, and online processes where machine Learning algorithms are applied to text, images, and videos to produce artificial intelligence systems to accomplish the task and perform well.

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Data Science has become the most promising career for technology enthusiasts.  Join Advanced Data Science Courses to go with the stream and move forward in your career.

Benefits of Henry Harvin Data Science Courses for Beginners

Embarking on a Data Science Beginner Course will enhance your skills to handle bulk and complex data, especially in today’s data-centric environment. Henry Harvin being a Ranked No#1 Data Science Institute provides the best Data Science Courses designed by industry experts.

Key Benefits: 

Fundamental Concepts: Henry Harvin’s Data Science Course for Beginners typically delves into essential data science concepts like data manipulation, data analysis, AI, and Machine Learning Concepts. This lays a strong groundwork for further exploration and practical application. 

Getting Hands-on Practice: Data Science Training Programs offer hands-on exercises and projects, enabling students to implement their newfound knowledge in real-world scenarios. This practical experience is crucial for honing skills and boosting confidence in data science techniques. 

Structured Learning Path: Data Science courses with placements often provide a well-organized curriculum crafted by seasoned instructors. This structured approach helps learners progress methodically through various topics, gradually expanding their knowledge base. 

Additional Resources: Enrolling in the Henry Harvin Data Science Courses with Placement support usually unlocks a treasure trove of resources such as lecture notes, readings, datasets, and online forums. These supplementary materials can deepen comprehension and offer additional learning avenues. 

Expert Guidance: Instructors and teaching assistants offer valuable guidance and support, assisting students in navigating complex concepts and resolving issues. Their expertise can expedite the learning journey and clear up any confusion. 

Building a Network: Participating in a data science course enables students to connect with like-minded peers with similar interests and career goals. Networking can lead to fruitful collaborations, knowledge sharing, and potential job prospects.

Boosting Career Opportunities: Data Science skills are highly sought in various industries. Completing a beginner course can bolster your resume and make you a more appealing candidate for employers seeking individuals with analytical prowess. 

Fostering Personal Growth: Learning data science can foster personal development by enhancing critical thinking, problem-solving, and analytical skills. Data Science skills are not only beneficial in a professional setting but also in personal endeavors.

DATA SCIENCE LIFE CYCLE

BUSINESS UNDERSTANDING: The first step is to analyze the business properly. Before solving a problem and finding solutions, it is important to understand the issue. The central ideas need to be clear before starting with the whole process. The data scientist needs to approach the problem with statistical and machine learning techniques and help clarify the goal of the customer.

DATA COLLECTION : After being clear about our objective, it is time to collect data from various sources. It is the process of gathering and measuring information that will help us know more about our problem and find practical solutions to it.

DATA UNDERSTANDING : After gathering the data, it is time to understand the data. We need to gain after a proper evaluation of the collected data. It involves studying the data through tables, charts, and graphics.

DATA PREPARATION : It is the process of cleaning and transforming raw data to process and analyze it. It involves preparing data for modeling after making corrections to data and combining it into one file using tables etc. for easy evaluation.

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The Next Few Steps are:

DATA MODELING:  A Data Model is created with prepared data for an information system by applying specific formal techniques. It is used to define and organize data. And look at how Data is processed, stored, accessed, and connected.

MODELING EVALUATION : It is the process of evaluating the data by using a series of machine learning algorithms. Data is determined, and the best solution is used after comparing all the necessary alternatives and determining if the chosen model is suitable for production.

DEPLOY : The main goal is to deploy the model into a production-like environment so that the users can accept it. The model is evaluated, and any problem occurring is fixed and corrected immediately.

WHY DATA SCIENCE IS IMPORTANT?

• Data science is helpful to us in uncountable ways. It helps solve all the complex business problems. Every organization has vast data that needs to be processed and analyzed before putting it to use. That is where data science comes into use. This field has come a long way and is needed to understand the workings of various organizations.

• Data is growing and emerging. It is important to use tools and techniques to analyze and process that data and use it in an organized form and solve all the complex issues occurring in an organization and solve them effectively and efficiently.

• The world is filled with data. Data science is present in every field today. Useful data is extracted and studied; it can do wonders for a business and help achieve future goals successfully.

PRESENCE OF DATA SCIENCE ACROSS DOMAINS

• Data science applications have become a part of every field. It is in high demand and gaining popularity in every industry. It plays a significant role in the success of the organization and its productivity. Health, education, travel, and many other industries use data science and can analyze changes and actions that need to be taken. It helps to deliver effective solutions for specific problems.

• Data science helps build a connection with people.  We can deliver the best services and analyze the market. This enables us to win the trust of our clients and customers cost-effectively.

• By studying data science, we can enhance our clients and meet their requirements. We can establish a good relationship with our customers and give them a personalized experience.

EFFECTIVE MARKETING

• Better marketing strategies are formed after analyzing data and studying the business environment. Before taking action and implementing effective plans and policies, one must know their target audience’s interests and behavior.  This helps in developing effective strategies and better advertisement techniques.

• Better decision-making is seen with the help of data science. Data science helps to make the right decisions in the long run and form effective strategies. It enables us to create new business opportunities, predict upcoming requirements, and generate more revenue.

• Data Science helps to discover marketing patterns. It helps us identify past and present trends allows us to study, compare, and analyze them, and gives us an edge over competitors. This gives firms a chance to exploit opportunities and get a first-mover advantage.

• Data science has become an essential aspect of a successful business organization. This is due to an increased need to understand and analyze complex data to form plans and policies to grow and expand in the market.

ROLE OF A DATA SCIENTIST

Data scientists use data science technical skills to extract and manage data. They combine computer science, statistics, and mathematics algorithms to solve various data-related queries and provide the optimum solution to manage data. The data scientists also know data mining and data visualization.

A data scientist organizes and understands the unstructured data and generates practical solutions after proper evaluation. They analyze their technical and social skills to find trends and manage data.

The data scientists observe and explore the data and recommend necessary action to be taken, and that will help improve the firm’s performance by engaging customers and boosting sales.

They decode unstructured data, analyze and study them, and make plans and policies according to them. They help uncover solutions to complex business problems.

Data scientists take actions based on trends and help in defining goals. Fantastic and profitable opportunities can be identified by a data scientist very easily. It is the responsibility of the Data Scientist, to empower data management for better decisions.

Responsibilities of a Data Scientist

A data scientist has a lot of functions to perform and has a significant role in a firm’s success.

He needs to have excellent problem-solving skills, a logical approach, accuracy and attention to small details, and sufficient knowledge of programming languages.

Data scientists must analyze and extract data, understand it, and give solutions to uplift the organization.

The Data Scientist challenges and adopts the best solution for any problem after properly analyzing each and everything. They help identify a target audience and the best ways to attract them.

Data science specialists can recruit the right talent and personnel for the organization after quickly analyzing the data in the resume to find the best candidate for the organization. This makes the process of recruitment very speedy and effective, helping to make more accurate decisions.

The data scientists help to identify and analyze the results after analyzing the data, testing the decisions they have taken, and whether they are useful.

NEED TO LEARN DATA SCIENCE

Data science has several applications in various sectors in every field. Data has become a fruitful source and the biggest asset of the company. Companies need people to analyze and extract them properly so that they can be successful. Since information is a key element in understanding  various processes of the organization. No industry can overlook the benefits of data.

All this data is recorded from digital clicks to social media usage and interaction used to analyze the competition. There are innumerable advantages of data science for an organization, which makes learning data science very important.

Significance of Data Science

With the need for data science specialists, Data Science has become a top-grossing career. Companies need skilled and technically sound Data Science professionals – valuable assets for the industry. These people are not only technically competent but are well-experienced. They can easily make strategies and extract data using complex quantitative algorithms.

Since data is becoming more accessible, all firms- big, small, or medium need data specialists. The growing demand for skilled data specialists results in a shortage of qualified people in the market.

Data science has been ranked as a top-demanding and paying career for the past few years. LinkedIn has ranked data scientist as the most promising job, along with many related job roles in Data science. This has opened Doors of opportunities for many people, giving them the option to establish a high-paying career by learning this skill.

The average salary of a data scientist is also very high compared to other jobs. In 2020, the demand for skilled data specialists has increased by 28%, with an average opening of 4524 posts. They are rewarded for their high technical skill set with good salaries and great opportunities to grow and learn.

But the main question arises: how do learn this skill and establish a career?

People are awakened to the fact that the rising demand for this career is seen and are learning to analyze and use data and analytics to solve complex business problems.

Beginners can learn and understand the basic principles of Data Science so that they can use tools and have a better understanding of this field. You can learn the basics of data specialization and know about it using online courses, which will enhance your CV and give your career a boost.

But now you must be thinking about how to proceed further.

Don’t worry! We are here to help you out.

Our team has prepared a list of 10 free data science courses that you can do to establish a career without even spending a single penny and learn this trending skill for free.

Top 10 Free Data Science Courses

1. ALISON FREE FUNDAMENTALS OF DATA SCIENCE COURSE

You can access the course here.

Alison offers free data science courses. You can learn the fundamentals of data interpretation, analysis, and manipulation using these free courses.

Classes for free data science basics are there, which clear all your basics and tell you how to extract necessary information from structured and unstructured data using scientific techniques, algorithms, processes, and languages. They also teach you how this can be changed into useful information and how strategies can be formed.

This data analytics course teaches:

• Concept of Data Mining
• Data evaluation
• Clustering

Some courses also provide certificates after completion. These data science courses are excellent and can’t be missed at all.

This will not only boost your career but also enhance your CV.

2. UDACITY FREE INTRODUCTION TO DATA SCIENCE COURSE

You can access the course here.

Level- Beginner
Duration– 2 months

In this course, you will be taught the foundation topics of data science such as data manipulation, data analysis with stats and machine learning, Data communication with information visualization, and many more important topics are covered.

This fantastic course is also part of the Data Analyst Nano degree.

An in-depth explanation of all the topics will be seen.

This course gives you a fantastic opportunity to learn and apply the basic techniques of various data science applications.

This course offers rich learning content and interactive quizzes.

This self-paced course is taught by industry professionals and can’t be missed at all.

3. DATA SCIENCE ETHICS BY COURSERA

You can access the course here.

Duration– 1 month
Level– Beginner

These data ethics courses are offered by the University of Michigan and include most of the profound questions of this technological era.

Ethical considerations around the consumer’s privacy are taught. A proper framework related to consumers’ concerns and confidentiality would be taught, giving them broader implications for collecting data.

This course can be taken by anyone who can handle data and has an interest in this field and will teach you how to be fair, accountable, and transparent.

The course is taught by industry specialists like HV Jagdish, and Bernard A Galler, and can’t be missed.

4. SKILLATHON FREE DATA SCIENCE TRAINING PROGRAMS

You can access the course here.

This course is built to provide specialization in machine learning. Various algorithms such as decision trees, random forest, K-Means clustering, Naïve Bayes, etc. are taught thoroughly, and in-depth knowledge of these topics is imparted to the students.

Skillathon boasts of being one of the best data science online platforms; each technology is taught very effectively and efficiently. The focus on each technique is given correctly.

Theory classes, hands-on training, doubt sessions, test series, etc. are a part of this free online data science course.

This course would help you learn and gain practical exposure and can’t be missed at all.

5. FREE COURSE BY WORLDQUANT UNIVERSITY

You can access the course here.

World Quant University offers free data science and analysis courses. Here learn data science by doing it.

You will gain a clear introduction to computing, python, and related tools and data that can be used to become a successful data scientist.

Machine learning and statistical analyses are taught through hands-on practice with real-world data that give students practical exposure.

Ready-to-use Python environment for the entire module is given to students, which helps in gaining experience in Python, Pandas, and Jupyter, etc. to solve complex problems.

It is built by a Data incubator that trains data scientists.

On completion of the course, a certificate is given, which can boost your CV.

To apply, only an application form is to be filled out related to the educational history and skill set of the candidate.

6. FREE COURSE ON DATA CAMP

You can access the course here.

Data Science offers a free online course on data science that will help you build your technical skills.

The lessons are bite-sized and can be done anywhere anytime. The videos are short, and hands-on exercises are also there to help you learn better.

It will help you track your courses very effectively and help you get personalized recommendations.

You can master the skill using real-life examples and become successful in this field.

You will earn a certificate of completion and learn and improve your skills in data manipulation, data visualization, and whatnot.

7. FREE ONLINE DATA ANALYTICS COURSES IN IBM

You can access the course here.

IBM provides many courses through its portal Big Data University now as a Cognitive class.

This covers all the fundamentals of data science, methodologies, and applications.

It teaches us how to analyze data discover trends and create and customize reports. Entering data in Microsoft Excel will also be explained.

Learning workshops and activities will make the course curriculum clear for the students.

One needs around 20 hours to complete this course.

8. KDNUGGETS DATA SCIENCE COURSES WITH CERTIFICATE

You can access the course here.

This course will teach you data science and its processes.

After spending hours analyzing the current situation and market needs, it has created and compiled its data science program for the students.

Modules of machine learning, and statistical concepts constitute the major part of it.

Practical training for the same is also available in the course.

9. DATA QUEST FREE COURSES WITH PLACEMENT SUPPORT

You can access the course here.

Dataquest provides free access to online data science material.

It offers to learn data analysis, data science, and data engineering.

Famous companies like Uber, Amazon, and Spotify endorse it and will give you an excellent experience to learn and grow for free.

You can learn this course by coding. Guided projects will help you determine the curriculum more effectively.

Interactive sessions will be there to help you learn in-depth.

The course is enjoyable to learn and can’t be missed at all.

10. FREE DATA SCIENCE COURSES ON KONFINITY

You can access the course here.

A team of IIT-D curates this online course.

It helps offer intensive coding training to beginners as well as to those who know how to code. So, no coding background is necessary to learn this course.

It also helps students find jobs, assists in interviews, and one-on-one mentorship. This is an active community, and teamwork is an essential part of it.

The projects are 100% online and you can schedule them at your convenience. Real-world projects are there to gain practical exposure.

The course is free, but if the student lands a job worth more than 6 lakh per annum, they might have to pay 10% of it in installments.

As promised, these free online data science courses help you build a career in Data Science.

Data science is a very trending field and can help earn a handsome amount of money. The need for data science in every business is imperative to add value to it. It covers everything from business analysis, and data mining to data evaluation. today data is one of the strong pillars of any organization.

So what are you waiting for?

Learn one of these data science courses and give a boost to your career and your skills.

HAPPY LEARNING!

Conclusion

Data science is one of the top-paying and most demanding careers. with the availability of big and complex data, all firms need data specialists who can handle and manage data systematically,  it is important to master this trending skill. Online Data Science Courses can help you boost your career and master data science skills with no additional cost.

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FAQ’s

Q.1 WHAT SKILLS ARE REQUIRED TO BECOME A DATA ANALYST?

Ans. Basic qualifications and technical skills required to become a data analyst include problem-solving skills, high-level mathematical ability, Microsoft Excel, presentation skills, machine learning, logical approach, attention to detail, programming languages, and statistical skills.

Q.2 HOW DO I BECOME A DATA SCIENTIST?

Ans. To become a data scientist, a bachelor’s degree in, computers, statistics or mathematics can be earned. a master’s degree can also be earned for the same. various courses can be done and experience can be gained.

Q.3 WHAT IS THE FUTURE OF DATA SCIENCE?

Ans. Data science has an amazing future. Since it is required in all fields, the future of data science is very bright. more and more jobs in this sector would be seen.

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