Data Analytics course in Dehradun

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Best Data Analytics course in Uttarakhand
analytics in healthcare
data analytics in Media and Communication
data analytics in Finance and Accounts

What does the course offer?

GAME CHANGING TECHNOLOGY FOR UTTARAKHAND YOUTH

The Data Analytics Course covers technologies like Excel, Advanced Excel, Tableau, SQL, Power BI, Basics of R & Python. Apart from the theory classes, there are hands-on assignments and projects that help you apply the concepts that are learned by a student.

Python programming

Python programming is the most popular and powerful programing language used nearly in all AI and machine learning operations. It is a highly sought-after skill by software professionals, app developers and beginner programmers. This powerful object-oriented programming language is featured with high extensibility, large standard library, portability and embed-ability making it popular in domains of data analysis and visualization, AI and machine learning, application back-end framing, desktop app development and much more.

R programming

R is a dominant open-source programming language in the field of data analysis, statistics and data visualization. The ability to provide high-end support to statistical and graphical techniques such as linear/ nonlinear modelling, time-series analysis, clustering and many more, makes it highly extensible and popular amongst data analysts and data scientists. Used for statistical computing, R language helps in effective data manipulation across enterprisess.

Microsoft Excel

Microsoft Excel is an important tool for data analysis. It helps companies accurately assess situations and make better business decisions.

Data analysis is the process of cleaning, processing, and analysing raw data in order to extract useful, relevant information that can help businesses make better decisions. The strategy reduces the risks involved with decision-making by providing useful insights and facts, which are frequently displayed as charts, photographs, tables, and graphs.

 

 

Data analytics includes data collection, organisation, storage, and the tools and techniques used to delve deeper into data, as well as those used to convey the findings, such as data visualisation tools. Data analysis, on the other hand, is concerned with the transformation of raw data into relevant statistics, information, and explanations.

Tableau Analytics

In this Tableau blog, you’ll learn about what Tableau is, what it is used for, how Tableau works, and so on one by one from scratch. Tableau software is one of the fastest growing data visualization tools which is currently being used in the BI industry. It is the best way to change or transform the raw set of data into an easily understandable format with zero technical skills and coding knowledge.

Tableau is a full-featured data analytics platform that lets you prepare, analyse, collaborate, and share big data insights. Tableau is a leader in self-service visual analysis, allowing users to ask new questions of managed big data and quickly share their findings across the company.

PowerBI

Power BI. Unify data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results.

Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights.

Microsoft Power BI is a suite of business intelligence (BI), reporting, and data visualization products and services for individuals and teams.

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SQL

Structured Query Language (SQL) has been around for decades. It is a programming language used for managing the data held in relational databases. A data analyst can use SQL to access, read, manipulate, and analyze the data stored in a database and generate useful insights to drive an informed decision-making process.

SQL is widely used by software engineers, but it’s also popular among data analysts for several reasons: It’s simple to grasp and learn from a semantic standpoint. Analysts don’t have to copy data into other programmes because it can access enormous amounts of data immediately where it’s kept.

power bi and tableau courses

Explained Architecture and Features Power BI and Tableau are two popular Business Intelligence (BI) tools for collecting, integrating, analyzing, and presenting business data. They help you in performing data analysis, data manipulation, and visualization of data in order to understand and derive conclusions from company data.

CAREER & SALARY

Experience plays a deciding role in finalising the salary of a data analyst. One’s experience in the field depicts more extensive knowledge, practical solutions, agile working and leadership skills to train others. Therefore, an analyst in the industry for more than three years will have an increased payment than the salary of a data analyst for a fresher.

The average pay structure for data analyst based on experience is as following:

Entry Level (> 1 yr of experience) – ₹342,363/yr
Early Career (1-4 yrs of experience) – ₹422,408/yr
Mid- Career (5-9 yrs of experience) – ₹690,734/yr
Experienced (>10 yrs of experience) – ₹942,653 to ₹1,750,000/yr
Data Analyst Salary: Based on Location
The salary of a data analyst for a fresher might be different if located in Mumbai from the data analyst salary in Bangalore. This is because the location is among one of the factors affecting the data analyst job salary.

Every city or state has a different cost of living and demand of the profession and accordingly the pay is decided.

Job Roles in Data Analysis

Job Roles in Data Analysis
Marketing Analyst
Business Intelligence

  • Analyst
  • Research Analyst
  • Operations Analyst
  • Risk Analyst

Growth of data

  • With the rise of various social media platform and multinational companies across the globe the generation of data has increased
  • Data has grown vastly on the last decade and expected to reach 175 zeta bite in 2025 according to international data corporation.
  • Companies are on the lookout of professional who turns raw data into crucial insight. Hence there is and there will be a constant demand for professional in this field.
  • Organization are lookout for such candidates.

What is data analytics ?

  • Analyze means of scrutinized something to find our meaningful conclusion from it.
  • Data analytics also work similar. It is the process by which useful insight are extracted from raw data.
  • By studying and examining carefully this insight are important for business trends, market innovation and market trends profit loss report etc.
  • Data analytics is the term as the process of extracting meaningful insight such as hidden patterns, market trends, and customer preferences are done by the study of procured data. Example converting jig saw puzzle into beautiful pictures.
  • This information can be converted into graph and chats which provides precise result of the analysis.
  • Various technologies tools and framework are used in the analysis process.
  • The organization takes the benefit of data analytics to convert the raw data into meaningful insight.
  • Therefore, there is high requirement of skill in data analytics.

                                       Raw data to meaningful insight

Job role in data analytics

  • There are many job roles that can be taken up by fresh candidates.
  • It is a lucrative field as the role of data analytics only going to continue to blossom in the years to come.

Who is data analyst ?

  • A data analyst is a professional who works on collecting, processing and analyzing a large dataset.
  • Static analysis is done on various data.
  • Every business generate data be it marketing ,sales ,research , customer feedback,customer behavior, logistic and transportation.
  • A data analyst will take this data and take various measures such as how to price new product, how to cost cutting ,how to innovate better products.

Responsibilities of data analytics

  • Gather information
  • Gather information form querying and also maintain and design database.
  • Data analytics write complex SQL queryines and script to gather and extract information
  • From several databases and data warehouses.
  • Mining Data is mine from various sources and then organized in order to obtain a new information from it.It is vital role of data analyst.
  • Data analyst collect data from various sources and work on it.
  • Now with this data, we can use a model for it and reduce complexity and increase the efficiency of the whole system.

Tools

  • Use various static tools and programming language for analytical and logical examination of data.
  • Using different libraries and packages data analysis discover trends and patten from complex data set.This help them to find more unseen insight from the data to make business predictions.

Preparer summary report

  • Prepare a summary report for the leadership team.
  • This is done with the help of data visualization.
  • So that they can make timely decisions.
  • Data analytics use multiple data visualization tools.

Skill required

  • Hold a degree or even Intermediate.
  • Knowledge of language of language like R ,Python and java script.
  • This will help you solve complex problem
  • You should have experience with data bases and data analysis tools.
  • Knowledge of MS Excel ,Matlab SQL queries etc.
  • Should have understanding of statistics and machine learning.
  • Experience of using several data visualization tools.
  • Good presentation skills.
Last Its requirements’ curious ,Judgmental ,argumentative 

Average annual salary

  • In US 45000 $ – 83000$

  • In India 400000 – Rs 1000000

Companies hiring data analytics

  • Amazon
  • Microsoft
  • Wall mart
  • Paytm
  • Google
  • Facebook
  • apple
Data Analytics in the Banking and Finance Industry
Placements
Data Sience training and placement Uttarakhand

Why to do Data analytics training ?

Why everybody should learn data analytics

There’s no doubting that analytics isn’t only the way of the future; it’s also the way of the present. Analytics is currently employed everywhere from airline route planning to predictive maintenance analysis in manufacturing plants, having been adopted in a wide range of industries. Even industries that would not be associated with big data, such as retail, are adopting analytics to boost consumer loyalty and personalize unique offerings.

1. Analytics professionals are in high demand.

This apparent increase is due to a growth in the number of companies employing analytics and, as a result, needing analytics people. According to research conducted by QuinStreet Inc., the trend of implementing big data analytics is expanding and is regarded as a high priority among U.S. organizations.

2. Massive Jobs Available & Bridging the Skill Gap.

The need for analytics specialists is rapidly increasing, yet

3. Salary increases
Data Analyst Salary at Entry Level: In India, an entry level Data Analyst/Scientist can earn roughly Rs 507,269 per year. Salary for Data Analysts at the Junior Level: Junior Data Analysts make an average pay of Rs 9,21,957 per year if they have at least two years of expertise in the industry. there is a huge supply shortage. This is happening all around the world and is not limited to any particular region. Despite the fact that Big Data Analytics is in high demand, there are still a big number of unfilled positions due to a shortage of essential skills around the world.

4. Working flexibility in any industry.

You’re not normally confined to working in a specific area as a data analytics professional, which can be a significant benefit. Data analytics is beneficial to every industry. Financial, healthcare, retail, logistics, and human resource management are some of the major industries where data analytics professionals are in great demand.

5. Advances in practical knowledge
Learning from industry specialists who have worked in the same sector for years is one of the most rewarding aspects of the process. You will have the opportunity to learn and work with commonly used marketing technologies.

Can a Fresher Become a Data Analyst? Entry Level Data Analyst Jobs

We have a lot of data, but we don’t know which of it is valuable. To extract insights from this enormous data, organizations need qualified professionals—data analysts. A data analyst’s job is to transform data about a company’s customers, goods, or goals into information that decision-makers can use.

Businesses can use the data analysts’ findings to personalize items for customers, develop marketing strategies, and improve the manufacturing process significantly. Whether you’re looking for entry-level or senior-level data analyst positions, you’ll always have to work with data. This post will cover how to find entry-level data analyst employment, as well as whether or not a fresher can work as a data analyst. Let’s get going.

JOBS FOR ENTRY-LEVEL DATA ANALYSTS

A bachelor’s degree is required for most entry-level data analyst positions. On the other hand, a master’s degree in data analytics is useful. Most persons with technical backgrounds start their careers as statistics assistants, business support analysts, operations analysts, or other entry-level positions, where they obtain crucial on-the-job training and experience. What talents, on the other hand, will help you land an entry-level data analyst position? Let’s take a look at the qualifications for entry-level data analyst jobs.

BASIC UNDERSTANDING OF EXCEL TABLEAU

You should be familiar with Microsoft Excel if you want to work as an entry-level data analyst. A data analyst’s responsibilities include categorising data and computing numbers. As a result, knowing how to use Excel is advantageous.
Good statistical knowledge: Statistics and distributions, which are critical in data analysis, should be well-understood. For an entry-level data analyst position, you’ll need a strong understanding of inferential and descriptive statistics, binomials and tests, and experimental and statistical design.

FAMILIARITY WITH MACHINE LEARNING:

 
 The foundation of machine learning is linear algebra and multivariable calculus, which allows data professionals to make accurate predictions. You should familiarize yourself with the three major types of machine learning: supervised, unsupervised, and reinforcement learning.
KNOWLEDGE OF PROGRAMMING LANGUAGES:
In the field of data analytics, programming skills are essential. You should be able to interpret data using programming languages as a data analyst. For an entry-level data analyst position, you should be proficient in at least one programming language. The more languages you know, however, the better. SQL, Python, R, C++, Java, MATLAB, and PHP are some of the programming languages used in data analysis

Final Thoughts

If you’re serious about pursuing a career in data science and Analytics, there’s no better time than now to acquire your data science certification and make a strong impression on potential employers.

Learn Data Analytics from global experts and attain a Data Analytics Certificate

cOURSE DURATION

3 MONTHS 

FOR PROFESSIONAL PROGRAM IN DATA ANALYTICS

6 MONTH FOR MASTER PROGRAM IN DATA ANALYTICS

Yes, Vista Academy provide 100% placement support after completion of the course. 

Yes, Vista Academy also provides online training and classroom training for data science and Data Analytics

Many firms in India hire data scientists and data analytics professionals at all levels, from entry-level to executive. Amazon, Flipkart, Accenture, IBM, and Juniper Network are some of the top data science and data analytics recruiters.

  • Salary
  • Massive adoption of Data science
  • Easy to Start
  • A Demanded Profession
  • Various job titles and responsibilities
  • New Skill
  • Opportunities
  • Due to digitization, there is an opportunity for growth.
  • Engage as a Stakeholder
  • Opportunities in a variety of industries and domains
  • Key Decision-Making Power
  • Improve the relationship between the retailer and the customer

Anyone with a structured thought process, logical thinking skills, and a willingness to acquire new tools, as well as a sound business perspective, can enter the field of data science and data analytics.
It is not necessary to hire great coders or highly knowledgeable individuals.

  • Visualization Specialist
  • Machine Learning Expert
  • Analytics Consultant
  • Solution Architect
  • Big Data Solution
  • Business intelligence specialists
  • Big Data Analyst
  • Data scientist
  • Database Administrator
  • If your are Not Curious

  • If you are Not Motivated.

  • If you can’t dream and Visualize .

Don’t Need to Apply

Measure Students on job skills, personality and fit

Proper screening of students are done throughout the course and these screening are shared with companies and finally you fit to get the job .

 

To prepare you for a job, we focus on practical and personalised learning. For real-world skills, the most up-to-date curriculum, expertly structured project work, and extended post-session support are provided, making it well worth your money.

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If you’re serious about pursuing career in data science, there’s no better time than now to acquire your data science certification and make strong impression on potential employers.

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