Data is the most valuable asset of businesses today. Many companies across all industries are looking for good data scientists in their teams to provide useful insights from the large volumes of structured and unstructured data in front of them. Data science is a challenging and interesting career choice, as you get to learn new things every day here. Due to the important role they play in helping the management take critical, data-driven decisions, data scientists are paid quite well.
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If you are interested to pursue a career in data science, you should be strong in certain important skills like the following:
- Programming languages like Python and R
- Querying languages like SQL
- Data Analysis tools like Advanced Excel
- Data Visualization tools like Power BI and Tableau
- Soft skills like problem-solving, critical thinking, number-crunching, ability to create stories from numbers, creative and analytical thinking and more
- Machine learning and business intelligence skills
- Mathematical concepts like linear algebra, calculus, geometry, trigonometry and the like
- Statistical concepts like regression analysis, hypothesis testing, probability distribution and more
The best thing about these concepts is that you can learn them from scratch even if you don’t have a background in math, statistics, or computer science. There are several data science science courses available from reputed institutes in India. If you are looking for a course that is well-structured and easy to understand, you can choose the professional or certification course in data science from 360digiTMG Pune.
If you are wondering what you would get to learn from these courses, you have come to the right place. Here, we have briefly covered all the topics that are part of the data science syllabus in India. Before we get into the details, let’s see what’s covered in a basic data science course for beginners.
Basic concepts covered in the data science syllabus for beginners
The topics you can expect to be covered in a beginner’s course on data science are the following:
- Fundamental lessons in math, statistics, machine learning, programming languages like Python &R and the process of creating analytical and predictive models
- Working with database management systems
- Training on using various data visualization techniques
- Cloud computing basics
- Natural language processing concepts
- Data security and related topics
Syllabus of data science courses in detail
In some of the best training institutes like 360digiTMG Pune, you can find the following topics covered in detail even for short-term data science courses:
- Data Science Introduction
Here, you will be introduced to the different types of data and data sets you have to handle as part of your job. You will then learn about the basic tools & techniques used by beginners to analyze and explore data in detail.
- Programming Languages Introduction
The two main programming languages you will learn in a data science course are Python and R. A good course will teach you all the important concepts of these languages. These include writing codes, getting the syntax right, knowledge of frequently used commands and practical application of the codes in projects for analysis purposes.
- Querying Languages
A big part of the data science job profile is using research databases properly. So, in this topic, you will get to learn the most important querying language used in data science, SQL (Structured Query Language), which will help you query particular data from a large database. This topic also covers small parts of other querying languages like NoSQL and MongoDB, even though they are not as frequently used in data science as SQL.
- Basic Statistical Concepts Needed for Data Science
Statistics is the base for all data science jobs. So, a good data science course helps you brush up your knowledge on the most important statistical concepts like probability distribution. At the end of the course, you will learn how to use these concepts practically in your projects.
- Math
You need to know at least some concepts of math (explained in the previous sections) to pursue a career in data science. So, even if you don’t have a math background in your bachelor’s or master’s degree, you should still learn these concepts. A well-structured data science course teaches you the main concepts of linear algebra, calculus and other concepts without making it too intimidating for you.
- Exploratory Data Analysis (EDA)
This is where you will learn all the tools & techniques used for cleaning and preprocessing the data for further processes. You will learn the art of exploring the data in great detail to understand trends, correlations and patterns.
- Data Mining
In this topic, you will learn how to extract data from large databases, strategies to analyze the data extracted, cluster the data collected, and put them in different compartments based on the nature of data, and other techniques that will help you learn to deal with large volumes of data with absolute ease and perfection.
- Techniques of Machine Learning and Artificial Intelligence
With Artificial Intelligence taking over most industries today, it is only natural that a data scientist should be adept in this concept. In a good data science course, you will get to learn all that there is to AI, Machine Learning, Business Intelligence and Deep Learning to help you write codes & programs for developing solutions for all problems.
- Data Modeling, Selection and Evaluation
This topic teaches you the basic and advanced techniques of studying data models in detail and assessing them with respect to all the metrics taught here. At the end of this course, you will know how to choose the best model for any particular problem in real-world data analysis scenarios.
- Data Visualization and Reporting
Visualizing the same data in different scenarios can help data scientists build the perfect predictive and analytical models for management. So, you will get to learn the basics of Power BI and Tableau tools here, and you will also understand how to navigate through the various features of these tools for better analysis.
- Tools and Techniques of Business Intelligence
Here, you will get to learn all the techniques that will help you add value to the data, understand the hidden meaning of the numbers and provide useful insights to the management.
- Big Data and Real-Time Analytics
This is where you can learn about tools to help you in dealing with large amounts of data in a quick time. These tools include Hadoop, Spark, NoSQL and more.
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360DigiTMG – Data Analytics, Data Science Course Training in Pune
No. 408, 4th Floor Saarrthi Success Square, near Maharshi Karve Statue, opp. Hotel Sheetal, Kothrud, Pune, Maharashtra 411038
089995 92875
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