DATA SCIENCE TRAINING
We, at C Cube Technologies, provide the best training for the Data Science course. We have designed the course in such a way that helps to kickstart your career into the data science field and to take up different roles such as Data Scientist, Data Engineer, Data analyst and so on. From this Data Science Training, you will get real-time exposure in statistics, Machine Learning, Deep Learning, Tensorflow, Artificial intelligence, and machine learning algorithm Concepts. This course includes concepts from statistics, computer science, & software engineering. We learn the necessary skills to manage & analyze data. We learn concepts such as exploratory data analysis, statistical inference, machine learning, & high dimensional data analysis.
Course Overview
Data is becoming increasingly large, necessitating the development of tools to extract useful information from it. As a result, workers with appropriate data science abilities are in demand.
Working professionals and freshmen interested in a career as a data scientist require data science training. You can enrol in the best data science training institute that focuses on hands-on practical sessions and individual attention to each student to obtain thorough knowledge of data science.
C Cube Technologies offers data science training.
Organizations nowadays have a vast amount of data. Data science’s main purpose is to identify hidden patterns in data. This is accomplished through a variety of methods. As a result of the evaluation, useful insights are generated.
The information is analysed, and useful conclusions are drawn. Using techniques like data wrangling, a data science professional can extensively examine the data and make relevant forecasts. Do you want to work in the field of data science? Then contact a data science training provider.
Learn about the importance of data science through a Data Science Training.
Data scientists are experts in turning cutting-edge technology into useful information. Several companies are now adopting big data, and data science is becoming more important than ever. You can track, manage, and keep track of performance indicators that can aid in better decision-making across the board. As a result, there will be an increase in production.
When you gain experience as a data scientist, the company will be able to trust you to make important decisions. Learn about the key benefits of learning data science by enrolling in the data science training institute. Data science is a difficult, in-demand, and profitable technology.
Data scientists use the powerful computer languages Python and R for data preparation and statistical analysis. With the use of data science, businesses may create distinctive goods. Businesses should be able to make well-informed decisions based on the information they receive from customers.
You will have a range of job opportunities after completing a data science course
The job of a data scientist requires working with a vast amount of data. The issue is that these data may be unstructured as well. These enormous data sets are used to create predictions, assess current consumer behaviour, and make judgments. The process of analysing and implementing effective models is what data science is all about. The data acquired as a result will be incredibly valuable to the company. The data scientists can use the present data to find solutions to the company’s issues. Predictive analysis and machine learning are the two most important technologies in data science.
Data scientists, data engineers, business intelligence analysts, and other professionals are among the most sought-after data science positions. Data scientists are in higher demand today than ever before, However, just a few people have this skill set. As a result, understanding this cutting-edge technology is crucial. At our data science training, we go over data science in detail. Real-time case studies and projects, as well as practical hands-on experience, professional training, tailored instruction, and specialist placement assistance, are all offered.
Prerequisites for learning data science at a prestigious data science school
Both large and small businesses generate data at all times of the day. However, not every company is taking advantage of the information generated. This is where data scientists play an important role. Data scientists use a statistical approach to data to do data evaluation. Data science is definitely a popular career path, and it continues to grow in popularity due to the value that data science methods bring to businesses.
Data science is a large field, and you can learn Python and R to get started.
Python can be used to assess data and then create some fantastic visualisations. You can also learn how to transform your data into useful insight using data science and the programming language R.
A data scientist’s job profile is wanted; to learn more about data science’s value, enrol in the finest data science training institute, which also focuses on placement aid.
Data science training is essential in the field of artificial intelligence. The majority of companies nowadays are looking for AI-focused data scientists.
Data science can be used to find possibilities, establish better company goals, and make better judgments, among other things. This is why experts who can evaluate and generate insights from data are in high demand.
In India, data science is used by firms in the healthcare, banking, pharmaceuticals, and e-commerce industries, among others. In light of the foregoing, we can conclude that data science is an excellent career choice. You will be on your way to a lucrative domain after receiving training from C Cube Technologies.
Data science job descriptions
Within the discipline of Data Science, there are numerous job opportunities. Among the most popular are:
Data Analyst:
Data scientists analyse and explore data trends to determine their influence on enterprises. To simplify data, they employ statistical and mathematical models. They not only evaluate data, but they also frame solutions for a variety of data problems.
Data Engineer:
This position is mostly for software engineers who work on non-analytical aspects of big data. Their job entails a lot of coding and data clean-up. They also carry out data scientists’ recommendations and data resolution.
Professional in Business Intelligence
This individual does market research on a variety of structured and unstructured data and generates reports to assess business trends. They work with SQL and other statistical software.
Manager of Information
They are involved in data structuring and unstructured data control. They are in charge of creating the architecture and database systems that meet the information needs of research and data science teams. They also check for irregularities in data and undertake data upkeep.
Analyst of Data
These experts deal with massive amounts of data. They use Microsoft Excel, Tableau, and other software to analyse various types of data. They then create reports that can be used to develop solutions and make strategic decisions.
Everything we do is based on data. There is a huge demand for skilled and accredited data scientists in the current market. These individuals are in charge of making sophisticated data-driven decisions. If you’re interested in changing your profession and are passionate about this broad sector, contact C Cube Technologies.
MODULE 1: DATA SCIENCE ESSENTIALS
MODULE 2: DATA ENGINEERING FOUNDATION
MODULE 3: PYTHON FOR DATA SCIENCE
MODULE 4: VISUALIZATION WITH PYTHON
MODULE 5: R LANGUAGE ESSENTIALS
MODULE 6: STATISTICS
• Descriptive And Inferential statistics
• Types Of Data, Sampling types
• Measures of Central Tendencies
• Data Variability: Standard Deviation
• Z-Score, Outliers, Normal Distribution
• Central Limit Theorem
• Histogram, Normality Tests
• Skewness & Kurtosis
• Understanding Hypothesis Testing
• P-Value Method, Types Of Errors
• T Distribution, One Sample T-Test
• Independent And Relational T Tests
• Direct And Indirect Correlation
• Regression Theory
MODULE 7: MACHINE LEARNING INTRODUCTION
MODULE 8: TIME SERIES FORECASTING – ARIMA
MODULE 9: FEATURE ENGINEERING
MODULE 10: SENTIMENT ANALYSIS
MODULE 11: REGULAR EXPRESSIONS WITH PYTHON
MODULE 12: ML MODEL DEPLOYMENT WITH FLASK
MODULE 13: ADVANCED DATA ANALYSIS WITH MS EXCEL
MODULE 14: AWS CLOUD FOR DATA SCIENCE
MODULE 15: AZURE FOR DATA SCIENCE
• Introduction to AZURE ML studio
• Data Pipeline and ML modeling with Azure
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