How to Learn Data Science From Scratch With Top Courses
How to Learn Data Science from Scratch: Data science is a growing career field as multiple sectors, from healthcare to industries, continue integrating data science and its applications in their work. This has increased the demand for data science experts worldwide.
Therefore, it is a great time to become a data scientist and enjoy the high-paying salaries and growing job market. Moreover, it comes with promising career opportunities and job security.
Along with the growing job demand, multiple pathways to becoming a data scientist have emerged. From getting a professional college degree to attending online boot camps, you can learn data science skills easily and kickstart your career.
What is Data Science - An Overview
With the growing dependency on technology, businesses and companies in different sectors generate large amounts of data daily. By helping organize and analyze this data, data science provides actionable insights for data-based decision-making.
Thus, data science as a discipline involves a combination of mathematics, statistics, and computer science. As a data scientist, an expert is also tasked with developing machine learning models and providing profitable decision-making insights.
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Therefore, with its profitable action in driving growth, data science is finding use in a range of industries and sectors, growing the need for data scientists.
What to Expect When Learning Data Science From Scratch
As mentioned, data science is a discipline that combines skills and technologies used in statistics, mathematics, and computer science. Therefore, anyone interested in numbers and the IT world can easily enter this lucrative career field.
Following is a brief overview of what is included when you learn data science from scratch:
- Statistics and Probability
- Software and Programming
- Machine Learning
- Analytics
- Data Manipulation and Visualization
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Step-by-Step to Learn Data Science in 2024 From Scratch
You can simply put together a plan to become an informed data scientist in 2024 after you are familiar with the many core skills and scope of knowledge needed to learn data science.
Take these actions to start learning data science from scratch in 2024.
Step 1: Learn The Basics - Math And Statistics
Since data science has a strong mathematical foundation, working in this sector requires a thorough understanding of probability and statistics. You can enroll in a 101 course to learn about variance, conditional probabilities, and correlations.
Step 2: Practice Python And R Programming
After learning fundamental mathematics and statistics concepts, you can start learning programming languages such as Python and R. With these open-source and free programming languages, you can start practicing your skills, enabling you to build scalable computer programs.
Learning Python is a good starting point as it is a beginner-friendly language with multiple libraries. In addition, it can handle large volumes of data and enables workflow automation.
Step 3: Gain In-Depth Knowledge Of Databases
The next step in your journey to learning data science is learning database skills such as Structured Query Language (SQL). This popular database query language enables the storage of data and record modification.
With SQL, you will be able to easily transform, extract, and load data, allowing you to work with diverse datasets. You can take a beginner SQL course for the same.
Step 4: Explore Different Analysis Methods
As a data scientist, you will need to analyze large data sets using different methods and approaches to infer the best results. Therefore, you must be familiar with multiple analysis methods and figure out which will work best for a particular problem.
These techniques include cohort analysis, cluster analysis, and regression analysis.
Step 5: Learn Data Science Tools
You should acquire practical expertise using data science tools to enhance your skill set and quicken work, in addition to studying programming languages and analysis techniques.
For instance, built-in capabilities for data analysis, cleaning, and transformation are available in Python packages such as Pandas. It can help improve your abilities when using these tools.
Furthermore, you must learn how to use programs like Seaborn and Matplotlib to build data visualizations.
Step 6: Focus On Machine Learning
Another important aspect of data science is machine learning, which involves supervised and unsupervised learning. To get expertise in machine learning, you must understand algorithms like k-means, decision trees, and clustering.
Step 7: Practice Your Skills
After learning the range of tools and techniques used in data science, it is important to practice your skill set. Start working on beginner projects to strengthen your foundational knowledge and learn new things with challenges.
In addition to theoretical knowledge, data science requires you to develop critical thinking skills and networking to help you grow as a data scientist.
Moreover, remember to always learn new skills, practice the latest tools, and stay on top of recent advancements in the data science industry.
By learning and practicing your hands on the above-listed sub-disciplines, you can learn data science and become ready for a career in the field. However, taking separate courses for each subject can be time-consuming and expensive.
Therefore, it is best to take up an online data science course that provides you with basic to advanced knowledge in data science, helping you kickstart your career.
Best Data Science Courses in India
There are various online data science certification courses that you can pursue online to learn data science from scratch. Available in the form of self-paced programs and online boot camps, these courses provide you with all information related to data science and validate your learnings with a certificate.
This saves you both time and money that you may otherwise spend on a degree course. Following are a few courses offered by IFACET that you can pursue to learn data science from scratch:
- Advanced Certification In Data Analytics – Self-Paced (180 hours)
- Professional Certificate Course In Data Science (84 hours)
- Foundation Of Data Science (40 hours)
- Professional Certificate In Data Science (11 Months)
Course Curriculum
These courses cover a range of topics, such as:
- Python
- Data Analytics in R
- Data Analysis in SQL
- Data Visualization in Tableau and Python
- Pandas
- Statistics and Probability
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Generative AI
Data Science Course Fees
The fee for these courses ranges from Rs. 25,000/- to Rs. 2,50,000/- depending on the number of topics covered and in-depth knowledge and skills imparted.
Pursue a Data Science Certification
When learning data science from scratch, it is best to pursue a data science certification course that offers in-depth knowledge of the various topics, provides hands-on skill practice, familiarizes you with data science tools, and provides a certificate of completion.
The certificate courses offered by IFACET provide you in-depth knowledge in the field, helping you explore career opportunities without needing a professional degree in data science.
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