The need for data analytics is rising as the IT sector experiences tremendous expansion. The majority of people pursue it in the hopes of landing well-paying careers. The course on data analytics aids in teaching students how to gather, store, and analyze data. Although it seems straightforward, understanding it requires tons of technical knowledge. You must be a master in this industry if you want to succeed. And this post achieves just that by listing some of the best data analytics courses in Lucknow that will advance your career.

List of best data analytics courses in Lucknow

Table Of Contents

●      What is Data Analytics?

●      Data analytics types

●      Descriptive analytics

●      Diagnostic analytics

●      Predictive analytics

●      Prescriptive analytics

●      Data Analytics Courses In Lucknow

●      Imarticus Learning (Post Graduate Program in Data Analytics & Machine Learning)

●      Escalera Technologies (Data Analytics program for Students & Professionals – Medium Term)

●      DataCamp (Data Analyst with R)

●      Coursera (Google Data Analytics Professional Certificate)

●      LinkedIn Learning (Become a Data Analyst)

●      Udacity (Data Analyst Nanodegree)

●      Career path

●      Data Scientist

●      Business Analyst

●      Financial Analyst

●      Machine Learning Engineering

●      Data Engineering

●      Salary

●      Data Analyst’s Must-Have Skills

●      Frequently Asked Questions (FAQs)

●      Conclusion

What is Data Analytics?

Data analytics is the act of gathering, organizing, and analyzing raw data to discover valuable information that might help a business flourish. The valuable data acquired by the data analyst assists the company in making judgments about future activities that can help the company become a trendsetter. As a result, the corporation bases its decisions on past and present data rather than what-if scenarios.

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Data Analytics Types

There are four main classifications for data analytics.

1. Descriptive Analytics:

This clarifies what has happened throughout a certain time frame. A straightforward, high-level analysis method that examines the past is descriptive analytics. Data aggregation and data mining are the two basic methods used in descriptive analytics, thus the data analyst first collects the data and presents it in a summary fashion, and then “mines” the data to find patterns.

2. Diagnostic Analytics:

This mainly addresses the reasons why things happen. Diagnostic analytics investigates the “why,” whereas descriptive analytics examines the “what.” Data analysts first look for abnormalities in the facts or anything that cannot be explained by the data in front of them while performing diagnostic analytics. The data analyst will need to look into the cause of the data revealing a sharp decline in sales for the month of March.

3. Predictive Analytics:

Now we’re talking about what is probably going to happen soon. The usage of predictive analytics can be used to predict a variety of outcomes, from what products will be most in demand at a given moment to how much a company’s income is likely to rise or fall over a specific time period. Predictive analytics is ultimately used to raise the likelihood that the firm will “strike the mark” and take the best possible response.

4. Prescriptive Analytics:

This offers advice on how to proceed. If the average of these five weather models predicts a hot summer and it is above 58%, we should hire a second tank and add an evening shift to the brewery to improve production.

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Career Path

Every organization is looking for data-savvy personnel such as Data Scientists, Data Analysts, and Data Engineers to help them translate unstructured facts into meaningful business insights and inform data-driven choices.

Therefore, those wishing to begin a career in data analytics have plenty of chances, thanks to the rising demand and excellent salaries.

Your initial position may be as a junior analyst if you are new to the profession of data analysis. You might find opportunities to improve your career in a few different directions as you gain expertise as a data analyst. Let’s examine some potential data analyst job options in more detail.

  • Data Scientist

Data scientists gather and examine data before communicating ideas that can be put to use. Technically speaking, data scientists frequently surpass data analysts. They can create forecasts by using a more informed understanding of the facts. When working with complex data and advanced analytics, data scientists frequently need considerable competence in data analytics, including knowledge of programming languages like Python and R and other essential abilities.

  • Business Analyst

As a Data Analyst, you can specialize in several fields to gain expertise. One of those fields is Business analysis. A business analyst uses data to improve the efficiency and effectiveness of a company’s IT operations, organizational structures, or staff development. By employing data analytics to comprehend business models, company reports, technology integration documents, etc., and present various business plans, they support an organization in resolving its business challenges.

 

  • Financial Analyst

For those looking for professional progression in Data Analytics with a background in Finance, Financial Analysts are Data Analysts who bring Finance domain expertise and apply various insights to interpret it. By employing data analytics to examine vast volumes of data and financial risk management, investment patterns, exchange rate movements, the stock market, etc., they assist in resolving several financial issues.

  • Machine Learning Engineer

A career in advanced data analytics that integrates the knowledge of data science, machine learning, and artificial intelligence is called “machine learning engineering.” A machine learning engineer uses data analytics to analyze and evaluate statistical models and machine learning algorithms.

  • Data Engineer

Because it is their responsibility to optimize the infrastructure supporting various data analytics processes, data engineers frequently concentrate on larger datasets. A data engineer typically works with relatively sizable data sets and often contributes to data profiling and cleaning to make the data legible for data scientists.

To fulfill the demand, data engineers must be proficient in programming and data visualization and also need to have prior expertise in developing and testing solutions. There are more available career paths, however, the above-mentioned ones are the most highly demanded and high-paying ones.

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Data Analyst Salary

Here is a quick overview of the average base salaries for various data analyst professions.

  1. Data Analyst: Around 5,50,000 per year
  2. Data Scientist: Around 7,00,000 per year
  3. Business Analyst: Around 6,50,000 per year
  4. Financial Analyst: Around 8,50,000 per year
  5. Machine Learning Engineer: Around 7,00,000 per year
  6. Data Engineer: Around 8,00,000 per year

Salary of Some Other Career Paths Are:

  1. Operations Analyst: Around 4,80,000 per year
  2. Consultant: Around 5,90,000 per year
  3. Statistician: Around 5,00,000 per year
  4. Marketing Analyst: Around 4,50,000 per year
  5. Systems analyst: Around 5,90,000 per year
  6. Health care analyst: Around 5,00,000 per year.

 

Data Analyst’s Must-Have Skills

Data analysts are required to exhibit specific skills and talents besides being well-versed in the tools and techniques learned through enrolling in one of the data analytics courses in Lucknow listed in this article. The following are some of the essential skills you’ll need to work as a data analyst:-

  • Communication

Data analysts generally spend their time looking at data to derive informative insights, but they must also be able to communicate those insights to others. They frequently collaborate with corporate stakeholders. As a result, if they can not convey the patterns they notice to individuals without technical understanding, they will need to develop this skill.

  • Critical Thinking

Finding and combining correlations that aren’t always clear is the responsibility of a data analyst. When you think critically, you can analyze data, spot trends, and draw out knowledge and ideas effective for the business. You should put in extra effort and commit to thinking rather than just processing.

Instead of getting carried away with an explanation that is more complicated than it needs to be, keeping your search for a solution grounded by asking yourself simple questions about the problem at hand can be helpful.

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  • Knowledge of Programming Language

Data analysts use a variety of computer languages to complete their analysis of raw data. R and Python are the most advanced computer languages used by companies to do complex analytics on a large amount of data. At first, it may sound and appear something complex, but it is nothing that you can not be an expert in with practice.

  • Machine learning

Knowledge of machine learning has become a crucial skill for an analyst’s portfolio. While not all analysts will work on machine learning projects, it is still helpful to have a general awareness of the tools and ideas involved in the discipline to advance. Understanding machine learning will help you become competitive in the data analytics hiring industry, albeit you’ll need to have your data cleansing or learning a programming language abilities down first.

 

Top 7 Data Analytics Courses in Lucknow

 

Rank# 1. Data Analytics Courses in Lucknow

1. IIM SKILLS

IIM SKILLS offers a range of courses in marketing and finance domains, one of which is the Master Data Analytics Course. The Institute was founded with the aim to deliver quality training to the students and make them professional in their respective domains.

They offer online courses which are accessible to anyone sitting in any corner of the world. Their data analytics course is a complete package for students who are looking for the basics to advanced training.

 

Along with the excellent curriculum, advanced tools are also taught during the course. Practical assignments are also included with the training which makes the learning process more fun and hands-on.

The trainers try to make the live sessions practical with projects given so the students get in-depth of the course and know about the areas they need to focus on.

Another thing about IIM SKILLS is they always stay ahead to help their students whenever they are in doubt, they have an excellent support system. Once the course is completed, students are certified with the master certification.

 

IIM SKILLS also promises assured placement with known brands. This is the best training program for anyone with less or advanced knowledge about the field. Read below the further details about the course.

Also Read: IIM SKILLS Data Analytics Course Review

Course Fees: Rs 49,900 + GST

Benefits of the Course:

  • 6 months of Live training
  • Tool driven training
  • Assignments and live projects
  • 2 months of internship
  • Master certification
  • Lifetime access to the course material
  • 24/7 support


Data Analytics Course Syllabus

Data Analytics Using Advanced Excel (9 Hours)
Data Analytics Using VBA (15 Hours)
Data Analytics Using SQL (39 Hours)
Data Analytics Using Power BI (24 Hours)
Data Analytics Using Python-1(10 Hours)
Data Analytics Using Python-2 (10 Hours)
Data Analytics Using Tableau (15 Hours)
R For Data Science (20 Hours)
Data Analytics Using Alteryx (18 Hours)

Contact Details:

Customer Care No: +91 9580 740 740

Email: info@iimskills.com

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Rank# 2. Data Analytics Courses in Lucknow

2. Imarticus Learning

This post-graduate program in data analytics and machine learning was created by specialists in the field to assist you in learning the applications of data science from the start and creating robust models to produce insightful and accurate business predictions.

Their data analytics courses in Lucknow are intended for recent graduates and working professionals who wish to advance their careers in data analytics and data science.

For the purpose of preparing students for potential future employment, this program offers a job placement guarantee and full placement help. Both a weekday version for recent graduates and a weekend style for professionals in the workforce are offered.

Real-world projects that cover fundamental data science tools and methodologies are incorporated into this program through a special design. The 6-month full-time program for recent graduates is offered on weekdays (4 days a week with 4 hours of the session each day).

The 9-month part-time program is offered on weekends to working professionals (Saturday and Sunday with 4 hours of sessions each day). Due to the fact that it has been altered for each learner, the curriculum is available in two formats: 1. Weekday format for fresh graduates and 2. Weekend format for working professionals.

 

Data Analytics Courses in Lucknow:-

Weekday Format for Fresh Graduates

  • SQL
  • Python Programming
  • Statistics and programming
  • Machine learning with Python
  • Data Science with R
  • Big Data & Hadoop
  • Data Visualisation with Tableau and power
  • Placement preparation and capstone project

Weekend Format for Working Professionals

  • SQL
  • Python Programming
  • Statistics and programming
  • Machine learning
  • Deep Learning
  • Deployment on Cloud
  • Natural Language Processing
  • Computer Vision
  • Data Visualization with Tableau
  • Placement Preparation & Capstone Project

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Rank# 3. Data Analytics Courses in Lucknow

3. Escalera Technologies

This data analytics course is as close to individualized learning as you can get with a tailored schedule, one-on-one mentoring, and 24/7 instructor support. The intense full-time Data Analytics Program for Students and professionals is offered by Escalera Technologies.

It claims to take you less than four months to get from novice to expert. This curriculum consists of 2 types of classes, you can take either 3-day week classes or 5-day week classes option which you can complete in the span of around 3 to 3.5 months.

For B.Tech, M.Tech, BBA, MBA, B.Sc, M.Sc, B.Com, M.Com, and other students, it is appropriate. Professionals wishing to change careers or who want to apply data analytics to their current work should enroll in their data analytics courses in Lucknow.

Data Analysis Courses in Lucknow:-

  • Analytics – Definition, Applications, and Scope
  • Fundamentals & Business Statistics
  • SQL, Databases & Data Mining
  • Data Analytics using R
  • Predictive Analytics using R
  • Forecasting
  • Advanced Excel, VBA Macros & R
  • Live Projects

 

Rank# 4. Data Analytics Courses in Lucknow

4. DataCamp

This data analytics course offers digestible educational resources chosen by professionals in the data sector. Regardless of how much spare time you have to study, it will assist you in landing your dream position in data analysis.

In order to assist you in launching a new career in data science, DataCamp’s Data Analyst with R Career track offers 19 data science analytics courses that have been carefully chosen by industry professionals.

The full track should be finished in roughly 77 hours since each course lasts about 4 hours. Students should be able to work with and analyze data using R by the end of this course. 15 different professors, including Jonathan Cornelissen, a co-founder of DataCamp, are involved in teaching the courses. This Career Track can be started without any qualifications.

Data Analysis Courses in Lucknow:-

  • Introduction to R
  • Introduction to the Tidyverse
  • Data Manipulation with dplyr
  • Joining data with dplyr
  • Introduction to Statistics in R
  • Introduction to data visualization with ggplot2
  • Data manipulation with R
  • Exploratory data analysis in R
  • Sampling in R
  • Hypothesis Testing in R

 

Rank# 5. Data Analytics Courses in Lucknow

5. Coursera

One of the most well-liked and effective data analytics certifications for novices is the Google Data Analytics Professional Certificate. This data analytics course consists of 8 classes which you can complete in the span of 6 months.

This program is ideal for beginners who are interested in the R programming language. You will learn the principles of data analytics and the typical issues associated with it during this curriculum.

You will learn how spreadsheets are used for data analysis. Data cleaning is one of the crucial phases of data analysis, which involves a number of other steps.

You will gain knowledge of SQL Data Cleaning. Because there are so many students enrolled, there is an active community for questions and responses, and the course video content is well-organized, professional, and entertaining.

 

Data Analysis Courses in Lucknow:-

  • Foundations: Data, Data, Everywhere
  • Ask Questions to Make Data-Driven Decisions
  • Prepare Data for Exploration
  • Process Data from Dirty to Clean
  • Analyze Data to Answer Questions
  • Share Data
  • Data Analysis with R Programming
  • Google Data Analytics Capstone

 

Rank# 6. Data Analytics Courses in Lucknow

6. LinkedIn Learning

Everything you need to know is this LinkedIn Data Analyst Learning Path curriculum. Both professionals and students can readily access this learning program to learn more about this in-demand career path.

You will have the opportunity to learn more about data analysts, their roles, and how they use their analytical skills to display data on dashboards. However, the majority of the data analytics courses are between two and four hours, so you may do the full path in around 24 hours.

You are given a learning route to explore the fundamentals of data analytics. The beginning of this study path doesn’t require any qualifications. Not even a background in data analysis is necessary.

The course defines data analysis first, then goes into where to find it, how to interpret it, how to organize it, and how to visualize it.

The course is taught online by six different subject-matter experts. Some courses have quizzes, and every course has a section where students can ask the lecturer questions regarding the subject matter.

 

Data Analysis Courses in Lucknow:-

  • The Non-Technical Skills
  • Learning Excel: Data Analysis
  • Data Fluency: Exploring and Describing Data
  • Learning Data Analytics: 1 Foundation
  • Learning Data Analytics Part 2: Extending and Applying Core Knowledge
  • Excel Statistics Essential Training: 1
  • Predictive Analytics Essential Training: Data Mining
  • Power BI Essential Training
  • Learning Data Visualization
  • Tableau Essential Training
  • SQL: Data Reporting and Analysis
  • R Essential Training:
  • Data Cleaning in Python Essential Training

 

Rank# 7. Data Analytics Courses in Lucknow

7. Udacity

The Data Analyst Nanodegree from Udacity will give you all the knowledge, abilities, and resources required to launch a data analytics profession. Students with prior programming skills in SQL and Python (particularly NumPy and Pandas) are best suited for this program.

This curriculum consists of 4 courses that you can complete in the span of 4 months. The syllabus for this program only includes the most pertinent and useful topics for working as a data analyst, and all of the class topics have been carefully chosen.

It also covers some of the most popular data analytics tools, including R, Python, and Tableau, and it makes you apply the ideas you’ve just learned to real-world projects that are either inspired by or provided by businesses in the sector.

If you are not eligible for this program, there is also a similarly structured entry-level Nanodegree called “Programming for Data Science” that is the ideal choice for you. The entry-level data analytics courses in Lucknow specifically address what you require: the fundamentals of Python programming from a data science standpoint.

 

Data Analysis Courses in Lucknow:-

  • Introduction to Data Analysis
  • Practical Statistics
  • Data Wrangling
  • Data Visualisation with Python

 

Frequently Asked Questions (FAQs)

Q1. Does data analytics call for programming?

Ans. To be a data analyst, you must be able to write and understand one or more programming languages. Still, you don’t need to have the same level of expertise in computer science to code for data analytics.

Q2. Why data analytics is important?

Ans. Data analytics is important because it helps businesses improve their performance. Companies can help reduce expenses by identifying and implementing more efficient business practices into their overall business plan. Data analytics can also be used by businesses to track consumer preferences and trends, enhance corporate decisions, and create new, better products and services.

Q3. What training is necessary for data analytics?

Ans. You typically require a bachelor’s degree in a relevant field to work as a data analyst. A portfolio of work and prior industry experience may be helpful. A bachelor’s degree in a suitable field, such as computer science, information technology, mathematics, or statistics, must be earned. Obtain professional experience.

Q4. Do certificates have any value?

Ans. Each course on this list awards a certificate, which is an excellent way to prove to yourself that you completed the course and acquired a deep understanding of the subject. However, you should construct your resume as though the certificates you obtain don’t exist. When you lack prior work experience, you should totally focus on creating initiatives that highlight your knowledge and abilities.

Conclusion

In this article, we’ve discussed the top 6 data analytics courses in  Lucknow. This course list is open to anyone who wants to advance their abilities and is interested in a career in the analytics field, regardless of whether they are undergraduates, graduates, or working professionals. Hopefully, you were able to find something that satisfied both your learning needs and your budget. I wish you luck in finding the best data analytics courses in Lucknow that suit your needs.

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