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Data Analyst Course‍ in Lucknow

84,718 Ratings

Rated #1 Data Analyst Course by Economic Times

Data analyst course in Lucknow, in collaboration with Intellipaat, will teach you how to utilize Power BI, data wrangling, data mining, and other technologies. Through engaging in real-world projects and case studies, you will gain hands-on experience with these technologies. Enroll today and earn your certification as a data analytics professional.

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Key Features

50+ Live sessions across 7 months
218 Hrs of Self-paced tutorial videos
Get 200 Hrs of Project & Exercises
Learn from industry professionals and IIT Faculty
1-on-1 sessions with industry mentors
LinkedIn profile review and resume assistance
24*7 Support
No-cost EMI Option
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Data Analyst Course in Lucknow Overview

What courses are taught in this data analyst course in Lucknow?

Through our data analyst course in Lucknow, you will be able to master the mentioned skills:

  • Microsoft Excel for Data Analysis
  • SQL for Data Analysis
  • Intro to Data Science and Statistics
  • Presto (SQL Query Interface)
  • Data analysis, project life cycle, and Data Science in the real world
  • Techniques of evaluation, experimentation, and project deployment
  • Power BI
  • Business case studies
  • Machine Learning techniques
  • Data Science Capstone Project

On completing this online data analyst course in Lucknow , you will be able to work on solving complex business problems through the usage of machine learning algorithms and create value out of raw data.

This course covers multiple case studies, hands-on assignments, and projects to improve the skills required to become a successful data analyst.

On successful completion of this course, you will become a certified professional by iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee), and Intellipaat. Additionally, after completion of this course, career assistance services will be provided by Intellipaat, which include mock interviews, resume preparation, and guaranteed 3 interviews from top employers.

Data analysis is among the most sought-after career options in today’s technologically advanced world. There are numerous job opportunities available in this domain, which is one of the main reasons why you can opt for this career option.

  • As per IBM, jobs in this domain will rise by 15% by 2020, leading to the creation of more than 2.72 million jobs for data analytics professionals.

According to Glassdoor, the average income of a data analyst in Lucknow is approximately ₹5 Lakh per annum. This may increase to ₹25 Lakh per annum, based on experience and improved work quality.

Here are a couple of differences between data scientists, data analysts, and business analysts:

  • Data analysts perform the complete life-cycle of data analysis, whereas business analysts implement, build, analyze, and report the capabilities of the business. Data scientists, on the other hand, perform statistical analysis to build machine learning systems
  • A Data Analyst at Microsoft Corporation earns an average salary of $115,000 per year – Indeed
  • The USA faces a shortage of 165,000 Data Analysts & 1.5 managers with Data analysis skills – McKinsey
  • There are over 30,000 jobs available for Data Analysts in the United States alone – LinkedIn

Today, data analytics is one of the rapidly growing domains as we are living in a data-driven world. If you want to accelerate your career path, you need to learn data analytics as it has various significant use cases in every organization, regardless of the industry. Intellipaat’s Data Analytics Training courses have been created to give you an edge in this field of data analytics Through this online training, you will work on real-world data analytics projects and case studies so that you can get hands-on experience in this domain.

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Career Transition

55% Average Salary Hike

40 LPA Highest Salary

10000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

What are the different job roles that I can apply for after this course?

Data Analyst

Data Analysts perform the entire life-cycle of data analysis, create reports and dashboards, identify trends, and monitor KPI metrics.

Data Scientist

A data scientist is responsible for performing statistical analysis to build machine learning systems statistical modeling to visualize insights and develop complex models from large datasets.

Data Analytics Specialist

A data analytics specialist collects, organizes, interprets, and summarizes numerical data to provide usable information.

Visualization and Reporting Analyst

Create data visualizations, such as reports, graphs, presentations, and dashboards, that are eye-catching, interactive, and easy to understand.

Business Intelligence Analyst

Identify, develop, and execute business analysis techniques to allow the team to make essential business decisions.

Business Analyst

Produce detailed reports and dashboards of high quality to give intuitive presentations.

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11+ Skills to Master

Proficient in SQL

Knowledge in Data Wrangling Techniques

Analyzing Complex Datasets

Predictive Models and Algorithms

Skilled in Data Visualization Techniques

Time Series Analysis and Forecasting

Strong Foundation in Machine Learning

Data Modeling and Reporting in Power BI

Expertise in Advanced Statistics

Data Mining Techniques

Statistical Computing

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Tools to Master

Adv Excel SQL Power BI 1 Presto python 1 Knime 1

Data Analytics Course Fees in Lucknow

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekday (Tue-Fri)

10 Dec 2024 07:00 AM - 09:00 AM
Weekend (Sat-Sun)

14 Dec 2024 10:00 AM - 01:00 PM
Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM
85,044 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

EMI Partner

The credit facility is provided by a third-party credit facility provider in Lucknow and any arrangement with such third party is outside Intellipaat’s purview.

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Course Curriculum

Live Course Industry Expert Academic Faculty

Getting Started with Foundations of Data Analytics

Diving into Structured Query Language (SQL) for Data Management

Preview
  • Gain a basic understanding of SQL, including the Entity Relationship Model (ERM) and database normalization concepts
  • Elaborate SQL operators and demonstrate operations such as joins and subqueries
  • Learn how to use stored procedures, views, and SQL functions to manipulate and retrieve data efficiently
  • Explain SQL optimization strategies to improve performance and manage database concurrency to maintain data integrity, consistency, and isolation
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  • Exploring the basics of Python programming and how to set up IDEs. Also, understand the fundamental concepts of Python, such as syntax, data types, operators, and control structures
  • Grasping the Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism
  • Acquire practical experience with data manipulation using Python libraries such as NumPy and Pandas and learn to visualize data
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  • Learn the concepts of Descriptive Statistics, covering measures of Central Tendency, Dispersion, and Data Visualization Techniques, and understanding the application of probability for decision-making and statistical modeling
  • Dive into Inferential Advanced Statistics, including hypothesis testing and confidence intervals
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Learn Machine Learning Algorithms and Advanced Analytics Techniques

  • Understanding Fundamental of Machine Learning Concepts: Supervised and Unsupervised Learning, Model Evaluation, Clustering algorithms, and Feature Engineering
  • Learn Regression and its types (linear, logistic, and polynomial regression)
  • Explore Classification Algorithms, covering Decision Trees, Support Vector Machines, and Neural Networks
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  • Learn how to develop Classification reports using metrics such as Precision, Recall, Accuracy, Macro average, and Weighted Average
  • Describe how to Use the Confusion Matrix for Model Evaluation and Monitoring
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  • Performing time series data analysis, gathering insights and practical forecasting solutions using time series forecasting
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Implementing Real-world Business Applications, Case Studies, and Capstone Projects

  • Grasp different business domains such as finance, marketing, retail, and supply chain and articulate their distinct functions
  • Gain knowledge about formulating hypotheses for numerous business problems on samples and populations
  • Study about exploratory data analysis (EDA) and how it facilitates the foolproof production of actionable insights
  • Study how to narrate business problems and solutions in a simple, relatable format that makes them easier to understand, grasp, and recall
  • Develop actionable insights from raw, unstructured data to deploy real-world business solutions
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  • Define the problem statement and project objectives to contrast the scope of the data analytics capstone project. Alongside, build an approach to solving the problem by implementing optimal solutions using data analysis and modeling techniques
  • Use evaluation metrics and actionable insights to assess the performance of the optimal solutions
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  • In this case study on Customer churn, you will be using predictive modeling to find the causes of customer attrition to enhance customer retention
  • This case study on sales forecasting uses statistical methods and predictive analytics. It implements historical data and statistical techniques to predict future sales trends for better decision-making
  • Using Census Data for Demographic Insights, this case study analyzes demographic data to guide product development and targeted marketing strategies
  • This case study on predictive modeling focuses on real-world scenarios to improve decision-making and operational efficiency
  • This case study on HR Analytics uses workforce data to forecast turnover and improve recruitment and performance tactics
  • This case study on dimensionality reduction techniques illustrates the use of methods such as PCA to streamline datasets, improving model performance and efficiency
  • In this housing price prediction case study, implement statistical methods to predict real estate prices based on affecting factors
  • This case study on customer segmentation focuses on finding various customer segments for customized marketing and better experiences
  • In this inventory management case study, you will be using analytics to optimize inventory stocks, reduce capex and opex, and ensure product availability
  • In this case study on disease prediction, you will be implementing machine learning on patient data to analyze disease occurrence and take the necessary steps
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Elective

  • Mastering Excel For Data Analytics, Visualization, and VBA macros for automation
  • Explore the methods for ensuring data and file security
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  • Demonstrate Data Visualization and Analytics with Power BI for Managing Reports and Dashboards
  • Explore real-time applications of DAX in developing reports and dashboards
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  • Learning Job Search Strategies to establish networking and interview skills
  • Learn how to build an effective resume and manage a LinkedIn profile
  • Interview Preparation and Mock Interview Sessions Led by Industry Professionals
  • Placement opportunities with 400+ hiring partners upon passing the Placement Readiness Test (PRT)
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Project Work

Projects will be a part of your Data Analyst Master’s program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.

Career Services

Career Services
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Offering Placement Assistance
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Get an Exclusive access to Intellipaat Job portal
Guide Mock Interview Preparation
1-on-1 Sessions for Career Mentoring
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Offering Career-Oriented Sessions
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Guide for Resume & LinkedIn Profile Building
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Data Analytics Certification in Lucknow

Advanced Certification in Data Analytics Click to Zoom

Our data analytics courses are created by experts from top MNCs for professionals to get the top jobs in the best organizations. Further, this data analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.

You will receive the Data Analytics Certification from Intellipaat and iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee). Along with that, you will also be able to clear the following certifications:

  • SQL Certification
  • Power BI Certification

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Data Analyst Course in Lucknow FAQs

What are the benefits of enrolling in the data analyst course in Lucknow from Intellipaat?

This data analyst online certification course in Lucknow is an industry-designed course that strengthens your skills to fast-track your career in the domain of data analytics. If you don’t want to imagine yourself as a programmer and spend long hours coding then data analyst is the right position for you. This course covers all that you need to become a skilled data analyst.

The online data analytics courses involve the following:

  1. You will work on real-life projects
  2. You will work on industry-grade assignments with high relevance in the corporate world
  3. You can apply for the best Data Analyst and Data Science jobs in top MNCs
  4. You will get lifetime access to the course and the course material, along with a lifetime upgrade and 24/7 support

If you are looking for free resources on Data Analytics then read our blogs on Data Analytics tutorialData Analytics Interview Questions, and also visit our YouTube channel for free videos.

Data analysis is the process that includes data cleaning, its transformation, and continuous monitoring so that we can generate valuable information that can enable business decision-making.

The tools used for data analysis make the tasks of data processing, data manipulation, data analysis, and pattern and trend identification much easier. Some of the top data analysis tools are:

  • R programming
  • Tableau Public
  • QlikView
  • RapidMiner
  • KNIME
  • Excel
  • Apache Spark
  • Splunk
  • SAS

A career in the data analytics domain is not just a good career option but one of the most popular careers today. You can find jobs in this domain across a diverse range of industries and companies around the globe by completing this training in data analytics.

As per the Bureau of Labour Statistics, the estimated growth rate for data Analytics professionals will shoot up by 23% by the year 2026.

Data Analysis:  It is a subset of data analytics that consists of specific actions such as data cleaning, transformation, modeling, and questioning to help find useful information from a single and already prepared set of data.

Data Analytics: Data aAnalytics   is a method that involves    discovering, interpreting, visualizing, and reporting the patterns in data so that insightful decisions can be taken for optimal business strategy and outcomes.

Data Analysts: These are the professionals who come up with meaningful insights from the data. They have both the technical expertise and the communication skills to derive and present quantitative findings to technical and non-technical teams, clients, and stakeholders for achieving specific goals.

To become a data analyst, you must have the following qualifications:

  • For entry-level jobs, you need to have a Bachelor’s degree
  • For jobs at a higher-level position, you must have a Master’s degree
  • You should have a degree in the field of statistics, mathematics, computer science, or other similar domains.

To become a data analyst, you should meet the following criteria:

  • Gain a Bachelor’s or a Master’s degree in statistics, computer science or the IT field
  • Acquire the skills required to become a Data Analyst
  • Gain experience in the Data Analytics field
  • Consider getting a certification from a reputed institute

You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat Data Analytics course.

Having a college degree in the field of mathematics, probability, or computer science can definitely be beneficial but it is not required for you to have any degree to become a data analyst. The main requirement of becoming a data analyst is that you need to possess the necessary skills in this domain. So, having a degree can help you immensely, however, it is still a secondary requirement.

Intellipaat offers self-paced training to those who wish to learn at their own pace. This training also gives you benefits like query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for an entire lifetime. Also, you will get the latest version of the course material at no additional cost.

Intellipaat’s self-paced training is priced 75% less compared to online instructor-led training. If you face any problems while learning, our team can always arrange a virtual live class with the trainers as well.

Intellipaat offers a 24/7 query resolution service. For this, you can raise a ticket at any time that will be resolved by industry experts. You can avail yourself of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

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