Data Analytics Course in Surat

TOPS Technologies offers Data Analytics Live Project Training in Surat. We provide an interactive learning experience to equip you with the skills required to solve data-centric problems in business. Our Data Analytics Live Projects help you understand the impact of your data and get insights that can lead to quick, actionable strategies.

TOPS Technologies offers the best Data Analytics Training in Surat. We have an expert team of instructors with over 10 years of experience in this field. Our courses are designed to prepare people for the market demand and provide them with skills for a successful career in Data Analytics.

Data analysts are the backbone of many businesses in today’s world. They collect and analyse data from different sources and use it to make informed business decisions.

The demand for data analysts is growing in Surat due to the increased use of big Data Analytics and the internet of things. Data Analyst jobs are available in almost all sectors, including government, banking, education, healthcare, etc. There are a few ways to get a job as a Data Analyst in Surat:

Get Data Analytics Training in Surat at an institute like TOPS Technologies

Join a company that has Data Analytics Internship in Surat

Network with recruiters who hire for companies 

TOPS Technologies is one of the leading service providers for Data Analyst jobs in Surat. With our team of experts, we help students to achieve their dreams & earn good salaries by offering them Data Analyst training in Surat.

TOPS Technologies is one of the best educational institutes in Surat to offer Data Analytics Course With Placement in Surat. These Data Analytics courses are offered by the company for individuals and professionals who are keen on learning and doing analytics in Surat.

The course is designed to help students learn about data science and analytics. It includes topics such as data modelling, descriptive statistics, and predictive modelling. The course also provides practical experience with real-world datasets from companies such as Amazon and Flipkart.

The placement will be offered on a full-time basis at an organisation that has an interest in using analytics skill sets to drive growth and performance. TOPS will provide the necessary mentorship, training, and guidance to the student throughout their placement period.

A Data Analyst is a person who analyses and organises data to understand the information and make decisions. Data Analysts work in various industries, such as IT and Finance, which can lead to a higher salary than that of other industries like Education or Healthcare etc. In Surat, the average Data Analyst salary for this job is up to Rs. 8.3 lakhs per annum.

TOPS Technologies is a company that specialises in information technology  training & solutions. We provide training, consultancy, and services to help you become a data analyst at your job. We have Training Centers across India to provide training for Data Analysts, Data Scientists, and Software Developers. TOPS offers Data Analytics Internship in Surat, giving you an opportunity to develop your skills and get high-paying job offers from top organisations.

TOPS Technologies offers Data Analytics Interview Preparation for Freshers in Surat. We provide our candidates with the best interview preparation materials and help them get a job in their desired field of work.

The process is designed to help students understand the basics of Data Analytics and what they need to know before they can apply for a job in this field. The course will help students understand how Data Analytics works, how it is used, what skillsets are required and what kind of companies might be hiring them.

TOPS offers you a Data Analytics Course With Placement in Surat. We help you to prepare yourself for job interviews, improve your understanding of the technology and the industry, and increase your chances of getting selected for a role.

Data Analyst is a profession that is in high demand. Companies are looking for people with skills in SQL, data analysis, and machine learning.

The job of a Data Analyst requires a mix of skills and qualities, such as analytical thinking, creativity, communication skills, and problem-solving abilities. A Data Analyst should be able to take on different roles, such as data analyst or business analyst.

A Data Analyst should be able to collect data from various sources and transform it into meaningful insights about their environment. They should also have the ability to make decisions based on insights generated from their analysis.

Data analysts need skills in the following areas:

Data Analytics (e.g., statistics, probability, machine learning)

Programming languages like Python or R

Data visualisation (e.g., charts and graphs)

Data modelling (e.g., building a database from scratch)

Database management systems like SQL or NoSQL

Data Analyst jobs are in high demand and have a high salary. The qualities needed for these jobs are:

ability to analyse data,

strong analytical skills,

the ability to use different tools to extract meaningful insights from data,

the ability to communicate your findings clearly,

an understanding of the importance of teamwork.

Exploratory data analysis (EDA) involves studying data sets to understand the underlying structures, summarise their main characteristics, and discover patterns or relationships among variables. EDA typically uses visual methods such as plots, histograms, and scatterplots to examine data distributions and identify trends, outliers, and correlations. The critical goals of EDA are to provide insights for further analysis, identify potential issues in data quality, and guide hypothesis formulation and model selection in data analytics.

Statistical analysis in data analytics refers to the collection, organisation, presentation, interpretation, and modelling of data to support decision-making and problem-solving. The basics of statistical analysis included descriptive statistics, which summarise data to provide insights into its central tendency, variability, and distribution. Inferential statistics involves using techniques like hypothesis testing, confidence intervals, and regression analysis to make predictions about a population based on observed data from a sample.

Hypothesis testing is crucial in data analytics because it enables analysts to test the validity of their assumptions, claims, or predictions about a population. It involves formulating a null and alternative hypothesis, collecting and analysing relevant data, and determining whether the observed results would be unlikely to occur by chance alone. Hypothesis testing helps researchers avoid making incorrect conclusions or implementing ineffective solutions, thereby improving the accuracy and reliability of analytical processes.

A/B testing, or split testing, is an experimental technique used in data analytics to compare the performance of two or more product, service, or process variations. A/B testing typically involves randomly splitting a sample population into groups, exposing each group to a different variation, and measuring a predetermined metric, such as click-through or conversion rates. This approach allows analysts to identify which variation produces the best results and supports data-driven decision-making for product enhancements, marketing strategies, and user experiences.

Data visualisation refers to representing data in graphical or pictorial formats to enable better comprehension, interpretation, and communication of complex information. Data visualisation helps users recognise patterns, trends, and anomalies in data and facilitates the discovery of insights that might remain hidden in tabular representations. Data visualisation techniques, such as bar charts, line charts, pie charts, heatmaps, and interactive dashboards, are essential in data analysis to efficiently convey complex results to a broader audience and support data-driven decision-making.