Data science has created a buzz with all its latest industry techniques and procedures that cater to modern learners. It’s an interesting subject that goes in-depth about working with data and touches upon different disciplines in the process, such as statistics, mathematics, and computer science. If you are an aspiring data scientist or want to work in a related field, your chances of securing a stable position depend on learning the subject professionally and overcoming its possible challenges. There is a lot of competition in this career path but professional guidance like the one in AlmaBetter data science courses can provide a competitive edge in your career trajectory.
Let’s begin with an overview of AlmaBetter Data Science Courses. But, first, let us understand what is data science. Data Science combines more than one field to bring out excellent results in data.
Its roots can be traced in prominent subjects like statistics, mathematics, physics, and computer science, so much so that back in the 1970s it was often referred to alternately.
Over the years, this discipline has harbored interest among many individuals who wished to learn the ways of extracting and manipulating digital data.
This discipline helps you explore the world of marketing and analytics through raw data and uncover how modern businesses function in an extremely competitive environment.
Through data science and its complex way of weaving together concepts such as machine learning, artificial intelligence, natural language processing, deep learning, machine algorithms, data analytics, and programming languages you can experience a comprehensive learning journey.
It helps you gain more domain expertise and develop programming skills and statistical knowledge from data. Your primary goal as a professional data scientist is to uncover patterns in data and build predictive models based on the available datasets.
Some of the other responsibilities that come with your role include data collection for collecting and converting large amounts of data from various sources, visualizing the data into charts, graphs, and heat maps, data communication for writing reports and communicating with company leaders or stakeholders, data experimentation for executing analytical experiments and using strategy to identify as well as integrate new datasets.
The data science courses in AlmaBetter are something to look forward to, if you’re in the beginner stage of your data science journey. Learning through professional platforms can help you access higher-quality resources and network with industry experts.
It gives your knowledge more credibility and increases your chances of finding new opportunities from trusted sources. Increasing one’s performance through applications of data science is now easier, one example of this shows how teachers could use data to analyze their student’s performance and adopt strategies where students need support.
On another note, our day-to-day life is impacted by data science because it’s easier to analyze data from freight types, transportation methods, and other aspects of the supply chain.
This technology is a boon for a logistics company, where they could optimize shipping routes for weather or other incidents to prevent accidents. It saves the company a fortune and helps them look for new markets or revenue sources.
Recommend Read,
- Chartered Data Scientist
- Data Science Programming
- Principles of Data Science
- Java for Data Science
- Christ University Data Science
Let Us Discuss the Data Science Lifecycle, That Decides the Quality of Data Produced –
Problem Identification:
This is the initial step that needs to be fulfilled by data scientists to create a base. As a data scientist, you need to lead the process along with other domain experts who can share in-depth knowledge of what can be applied and what kind of problem needs to be solved.
You need to be mindful of setting objectives or issuing statements during the data handling process. Problem identification resorts to understanding multiple data sources, while considering other factors like detecting data anomalies, validating data accuracy, and communicating problems.
Business Understanding:
This step helps the process concerning profound knowledge and insight into major aspects, mainly businesses, markets, operations, and customers. Business understanding helps you grasp the intricacies of the industry and all its competitive elements so that driving forces can shape the success of the business.
The primary tasks involved with the function of customers and stakeholders are to identify business problems accurately as well as formulate questions that define business goals.
Data Collection:
Collecting raw data from various sources is considered a crucial step in the outline of the data science lifecycle. Data collection is common to several disciplines that function based on information, so it can be collected through common procedures like surveys, questionnaires, and observation, while uncommon techniques like the Delphi technique, focus groups, interviews, and government reports are also used.
AlmaBetter data science courses play a major role in helping students acquaint themselves with this procedure through its carefully curated modules. Collecting data is a process conducted through different software systems, it enables you to understand the process followed by product development, deployment, and delivery.
Data Processing:
Processing data is conducted right after the data has been collected and translated for extraction. In AlmaBetter data science courses you can learn how you can do it yourself or with a team, so as not to negatively affect the result. Data processing allows you to follow the steps by transforming, analyzing, and organizing it in various useful formats. It further leads to data manipulation and turning data into consumable formats.
Analyzing Data:
The data science lifecycle also includes data analysis and this is something that you can exclusively learn through AlmaBetter data science courses, which offer separate modules for every topic.
Analyzing data is led by data engineers who are skilled in applied statistics or logical techniques to illustrate, condense, recap, and evaluate the data.
Data analysis is essential in a data’s lifecycle and it’s often referred to as exploratory data analysis. Some of the prominent tools you’ll learn for this step are Tableau and Power BI.
Modelling Data:
Modeling data succeeds through proper analysis and processing of data, followed by several important components stored in the dataset. Through professional courses like AlmaBetter’s data science courses, you’ll learn about potential tools that suit your dataset. You may also be able to get a clear insight by participating in these training programs and internships.
The primary objective of this process is to create a simplified visual diagram to present all your findings and use appropriate tests or findings to present data. the data model can be monitored with actual data and in many cases it can be considered less, but it’s tested for improvement.
Deployment of Data Model:
The last step in the data science lifecycle is deploying the data model after it has passed multiple checks and training phases. Data science courses in AlmaBetter help you learn ways of integrating the model into an existing production environment, where the model can take inputs and produce outputs.
You aim to make the predictions from your training phase and make them available to others. This deployed model is then exposed to real-time data flow and can be utilized as a web service or a mobile application. After deployment, it’s out for anybody to use and try its features.
A Brief Discussion on Almabetter:
AlmaBetter’s platform considers itself India’s number 1 in technical upskilling. It’s the stop where you can kickstart your high-growth tech career with global degrees and learn courses in data science.
The company works in collaboration with E&ICT Academy IIT Guwahati and Woolf University, providing you with the benefit of attending live sessions as well as demo classes before committing to a full session.
Through data science courses at AlmaBetter, more than 30,000 students have established their future. The highest salary most graduates have secured is 40 LPA while the average is 15 LPA.
Graduating with AlmaBetter’s data science courses lets you connect with more than 700 hiring partners, some being Vedantu, Myntra, Groww, Paisabazaar, Amazon, Tech Mahindra, and Genpact. The institution can reach far and wide attracting learners from different backgrounds and experiences.
Therefore, the institute harbors empathy for all students and supports them through their learning journey. There’s also an element of quality in the learning materials, while the platform ensures optimal learning outcomes for students.
Vision and Mission:
Like all other institutes, AlmaBetter has set up specific missions which they strive to achieve. In its vision, it strives to be the world’s most student-centric educational institute.
It wants to offer incentive-aligned education that guarantees learning outcomes. The institute’s mission is to provide risk-free education to aspiring students like you and aid them in realizing their true potential.
Check These Recommend Read:
- Bioinformatics and Data Science
- W3schools Data Analytics
- Freecodecamp Data Analysis Course
- Psychology and Data Science
Contact Information:
Office address – 133/2, Janardhan Towers, 4th floor, Residency road, Bengaluru, Karnataka, 560025
Communication address – 315 Work Avenue, Siddhivinayak Tower, 4th floor, 1st Cross Road, 1st block, Koramangala, Bengaluru, Karnataka, 560034
Contact number – 08046008400
Email – admissions@almabetter.com
Website – almabetter.com
Resources for AmaBetter Data Science Courses:
There are several resources offered in different formats to assist you while learning AlmaBetter’s data science courses:
Python –
Among all the skills you can learn for free, you also have an updated version of Python for your future data science needs. Through 8 comprehensive modules, the tutorial introduces you to a popular and versatile programming language that adds variety to tasks including web development, data analysis, artificial intelligence, and more.
This top Python tutorial is aimed towards beginners as it’s divided into easy-to-follow lessons and covers essential basics for Python.
The modules for this Python course cover:
- Getting started module
- Python programming basics
- Loops and iteration in Python
- Data Structures in Python
- Comprehensions in Python
- Python libraries and more
Artificial Intelligence –
This tutorial lets you dive into the world of comprehensive artificial intelligence through the fundamentals of AI. You are introduced to advanced concepts of AI as well as get to learn this topic from scratch.
This tutorial acts as a go-to resource for mastering important concepts that complement AlmaBetter’s data science courses.
You can be a professional seeking to grow in your field or a beginner learning every skill for the first time, it offers everything to you. Through this learning journey, you’ll be embarking on various quests like acquiring the skills to tackle real-world challenges.
This knowledge will increase your prospects after data science courses at AlmaBetter. With compact modules and precise topics, this tutorial proves to be beneficial.
Some Topics Covered in AlmaBetter Data Science Courses Are:
- Artificial intelligence introduction
- Learn AI algorithms
- AI concepts and techniques
Applied Statistics –
In a modern industry context, bearing knowledge of applied statistics can help you secure better job roles. This is made possible with this free tutorial where you not only master the basics but also enhance your data analysis skills.
Just like AlmaBetter data science courses, this tutorial is comprehensive and helps you master the fundamentals of applied statistics. It covers essential topics like probability, hypothesis testing, algebra, calculus, and much more.
The clear explanations and practical examples assist you with relevant knowledge and tools that make data-driven decisions. Overall, in just a few modules and sessions, the applied statistics tutorial lets you discover the world of statistics, enhance your analytical abilities, and gain a competitive edge in the industry.
Some of the Topics That You Can Cover Include:
- Linear Algebra and Vector Algebra
- Calculus
- Probability theory
- Random variables
- Probability distributions
- Statistical inference
- Hypothesis testing
Also, Read:
- Cdac Data Science Courses
- Blockchain Data Science
- Alx Data Science Courses
- Unacademy Data Science Course
Power BI –
This is a skill that data scientists are most valued for and the tutorial strives to cover all its components within 5 comprehensive modules. Power BI is a cutting-edge data visualization tool that complements AlmaBetter’s data science courses and proves to be a valuable skillset. It’s well-known for its robust capabilities in data connectivity, transformation, and modeling.
The data science tool also plays a pivotal role in the realms of business intelligence and data analytics. If you’re new to data science or Power BI, the free tutorial helps you embark on a journey where both your knowledge and skills can be enhanced.
It’s considered an unmatched resource for beginners because the modules are digestible and seamlessly guide you through basics as well as advanced.
Some of the Topics Covered in This Tutorial Include:
- Getting started with Power BI
- Data connectivity and modeling
- DAX functions in Power BI
- Reports and visualizations
- Miscellaneous features
Other than the free tutorials, AlmaBetter has provisions for other resources such as articles on various practical problems spanning different industries, interactive coding problems for data science aspirants, learning videos on YouTube that help better information retaining, quizzes on various topics, online compilers for Python and other programming languages and cheat sheets that unlock essential insights to accelerate your learning journey.
Data Science Courses in AlmaBetter:
If you are here for a more detailed curriculum and hand-held guidance, you would like the full-length data science courses in AlmaBetter:
1. Certification in Stack Data Science and AI
This is one of the AlmaBetter data science courses which help you master all relevant topics within 6 months. This course is offered to you in collaboration with IIT Guwahati and you get the full benefits of an Advanced certificate from E&ICT Academy, IIT Guwahati.
Through this revised version of the curriculum, you can add to your existing knowledge facts about ChatGPT and other AI tools. It’s deemed suitable for individuals in their final years of school, graduates and beginner professionals in the industry.
You can greatly benefit from its industry connections with EICT Academy at IIT Guwahati as it reflects a shared commitment towards global education standards.
It’s a unique collaboration that leverages IIT Guwahati’s prestigious reputation with India and across the world, offering world-class education opportunities and a global academic community.
Combined with AlmaBetter’s data science courses, you can access guest lectures from IIT Guwahati faculty, a 2-day campus immersion program at IIT Guwahati, meet mentors from MAANG as well as top product companies and cover an intensive curriculum loaded with fundamentals to advanced topics.
Top Skills You’ll Learn:
- Python
- Pandas
- NumPy
- Matplotlib
- SQL
- GitHub
- Tableau
- TensorFlow
E&ICT, IIT Guwahati Certificate Features:
- A certificate assuring IIT Guwahati as a knowledge partner
- Access to several guest lectures from top faculties of the institute
- Interactive campus immersion at IIT Guwahati for experiential learning that is optional
AlmaBetter Certificate Features:
- You can get industry recognition for your skills as per ISO 27001 with verifiable credentials
- The certificate is sharable and can be added to your LinkedIn profile, resume, or Whatsapp
Curriculum:
- Introduction to computer programming (Python starters, data types in Python, indexing/slicing, in-built functions/methods, conditional statements, loops/ iterations, advanced looping concepts, sorting/searching algorithms, and competitive coding)
- Numerical programming in Python (packages or libraries, command line/file system, Git/GitHub, standard data management libraries, data wrangling, data visualization libraries, and exploratory data analysis)
- Relational databases (get started with programming languages, window functions, miscellaneous functions, query optimization, mathematical/ data type conversion functions, complex queries using CTE and type casting)
- Data visualization tools (storytelling with Excel, getting started with Tableau Ecosystem, storytelling with Tableau, dashboarding, and SQL)
- Applied statistics (calculus for ML, vector algebra, matrix algebra, probability theory, joint distribution, the concept of confidence, hypothesis testing, and statistical inference in industry with A/B testing)
- Introduction to machine learning (ML lifecycle, implementing simple supervised algorithm, unsupervised clustering, data preparation, cross-validation, hyperparameter tuning, customer segmentation, time series analysis, bagging/boosting complex algorithms, nonlinear algorithms, natural language processing, image processing, recommender systems, and SQL feature engineering)
Also, check:
- Uconn Data Science Courses
- Actuarial Data Science
- Rx Data Science
- Data Science and Business Intelligence
- Elite Data Science
2. Master Course (MS) in Computer Science: Artificial Intelligence and Machine Learning
This master course helps build your skills in machine learning and artificial intelligence, two of the most sought-after components within data science. Among AlmaBetter’s data science courses, it stood out with globally recognized components and a curriculum that was re-engineered for the chat GPT era.
You didn’t need a background in coding to start learning this course, as long as your other basic requirements were met.
All the lessons provided to you in this data science training program are covered with live online classes in 12 months. Both graduates and industry professionals are welcome to participate in this course if it requires them to.
With career opportunities on the rise, data science, and related career paths have seen growth in specific sectors. The average annual salary across these professions has been 10 LPA or more, while it’s predicted to witness a 28% yearly job growth by 2026.
Data scientists, data analysts, data engineers, and machine learning engineers all have massive potential across diverse industries such as healthcare, logistics, fintech, retail, telecommunications, government, and the public sector.
The salary of junior professionals can be just above 8 LPA and it grows with different positions like senior data scientist, lead data scientist, and data science manager until it reaches more than 50 LPA.
AlmaBetter’s data science courses are different from most online courses because it undertakes certified capstone projects from top brands like BookMyShow and Zomato. You can learn several learning strategies get mentorship from its top alumni and secure 100% job assurance.
Curriculum:
- Computer programming introduction
- Numerical programming in Python
- Relational databases
- Machine learning introduction
- Distributed machine learning and systems
- Deep learning and its use for computer vision and natural language processing
- Advanced-level machine learning
- Learn to define problem statement
- Learn literature review and data preparation
- Understand model development and evaluation
- Learn production and testing
- Choose an industrial domain of your choice
- More future work with additional ChatGPT component
FAQs
Q) What is the average salary data scientists can earn globally?
Around the world, data scientists get paid differently but data science is still one of the most lucrative career options. In the United States you could earn more than 75,000 USD at senior level and on average it’s more than 135,000 USD.
Q) What tools are essential for data science and its related fields?
Some important tools for data science-related fields are Power BI, SQL, Python, SAS and Tableau
Q) Can I thrive in the data science industry as a beginner?
You need to build a certain level of skill to be considered a data scientist. However, this is much easier in the present timeline where many resources are available to you, through means of technology.
Conclusion
Data science courses at AlmaBetter are your one-stop solution to achieving your dreams. The discipline has been through several developments to get to where it is today and this history makes it different. Previously, you might have had to work harder to prosper in the field of data science but now with the availability of resources around the internet, learning data science is as fun as it can get. Technology has made it possible for you to get closer to your role models and learn directly from them.
