Data Analytics Course

4.6 4.8 / 5

Duration: 2 Days

Price: $1392

You can learn Power BI, Data Wrangling, Data Mining, and other skills by taking this Microtek Learning course on data analytics. Through current projects and case studies, gain knowledge from industry experts. Sign up for this course to become certified in data analytics.

Data Analyst Course Key Features

50+ Live sessions across 7 months
218 Hrs Self-paced Videos
Top-notch Data Analytics course curriculum with integrated labs
Learn from Industry Experts
One-on-One with Industry Mentors
Resume Preparation and LinkedIn Profile Review
24*7 Support

Data Analytics Training Overview

You can master the field of data analytics with the assistance of this Microtek Learning training program. You will learn business domain knowledge, storytelling, data transformation, how to use algorithms to solve complicated business challenges, optimization approaches, and data visualization in this online training on data analytics.

You will be able to master the aforementioned skills through our training.

  • Microsoft Excel for Data Analysis
  • Presto (SQL Query Interface)
  • SQL for Data Analysis
  • Intro to Data Science and Statistics
  • Data analysis, project life cycle, and Data Science in the real world.
  • Techniques of evaluation, experimentation, and project deployment.
  • Power BI
  • Business case studies
  • Data Science Capstone Project
  • Machine Learning techniques
  • After finishing this training program, you will be able to use machine learning techniques to solve complex business challenges and extract value from raw data.

    To develop the skills necessary to succeed as a data analyst, you will work on numerous case studies, practical exercises, and projects.

    Upon successful completion of the course, Microtek Learning will provide advanced certification in data analytics for business. After the training is over, Microtek Learning will offer career help services, including mock interviews, resume writing, and a guarantee of three interviews with top organizations.

    In today's technologically advanced world, one of the most sought-after employment alternatives is a data analyst. One of the key benefits of choosing this career path is the availability of job opportunities available in this field.

    According to IBM, there will be a 15% increase in employment in this field by 2020, creating more than 2.72 million new jobs for data analytics specialists.

    To participate in the Data Analysis Certification Program, no prerequisites are needed. You would benefit from having a basic understanding of probability, statistics, and data analysis.

    The average salary for a data analyst in the US is roughly US$62,453 per year, according to Glassdoor. With more expertise and higher-caliber work, this might rise to US$95,000 per year.

    The average annual compensation for these specialists in India is around 503,000, and with more experience, it can go up to 1,005,000.

    The following are some differences between business analysts, data analysts, and data scientists:

    While business analysts develop, build, evaluate, and report on business capabilities, data analysts carry out the full lifecycle of data analysis. On the other hand, data scientists develop machine learning systems using statistical analysis.

  • According to Indeed, the typical yearly compensation for a data analyst at Microsoft Corporation is $115,000.
  • According to McKinsey, the USA is lacking 165,000 data analysts and 1.5 managers with those talents.
  • According to LinkedIn, there are more than 30,000 positions specifically for data analysts in the US.
  • Given that we live in a data-driven world, one of the most popular fields nowadays is data analytics. Regardless of the business, Data Analytics is being used in every firm, thus if you want to advance in your profession, you must master it. You may gain an advantage in this data-driven world by taking one of the Microtek Learning Data Analytics Certifications. During this online training, you'll work on actual projects and case studies related to data analytics to develop your practical knowledge of the subject.

    Who can apply for the Data Analytics training?

    • BI Professionals
    • Data Analytics Professionals
    • Project Managers
    • Software Developers
    • Information Architects
    • Freshers and Undergraduates can apply for the course as well.
    • Non-IT Professionals in sectors such as HR, banking, marketing, and sales, etc.
    Who can aaply

    What roles are performed by a data analyst?

    • Data Analyst

      Create predictive models for things like client lifetime value and churn likelihood and assist the team in putting them into practice.
    • Data Scientist

      Create models for the many cost factors driving the various margin awareness activities.
    • Data Analytics Specialist

      Maintain the data engineering criteria and achieve the goals with online data visualization systems like Alteryx and Tableau.
    • Visualization & Reporting Analyst

      Create data visualizations for graphs, reports, presentations, and dashboards that are visually attractive, intuitive, and interactive.
    • Business Intelligence Analyst

      To enable the team to have a meaningful impact on the business, identify, develop, and apply data analysis techniques.
    • Business Analyst

      Create thorough reports, presentation-quality dashboards, and presentations.

    Skills Covered

    • SQL
    • PowerBI
    • Data Wrangling
    • Data Mining
    • Data Analysis
    • R Programming
    • Prediction algorithms
    • Data visualization
    • Advanced Statistics
    • Time Series
    • Machine Learning


    rsvg adv-excel knime power-bi presto python sql

    Data Analyst Course Curriculum

    Learn how to do data analysis, data transformation and other important data analysis functions. Basic fundamental of Python and learn how to do data analytics using the same.

    2.1 Introduction to SQL

    2.2 Database normalization

    2.3 Entity-relationship model

    2.4 SQL operators

    2.5 Join, tables, and variables

    2.6 SQL functions

    2.7 Subqueries

    2.8 SQL functions, views, and stored procedures

    2.9 User-defined functions

    2.10 SQL performance and optimization

    2.11 Advanced concepts

  • Correlated subquery
  • Grouping sets
  • 3.1 Introduction to Presto

    3.2 Writing Queries in Presto on large data sets.

    3.3 Data Transformation using Presto

    4.1 Descriptive Statistics

  • Mean
  • Median
  • Mode
  • Tables
  • Charts
  • 4.2 Introduction to Probability

  • Probability in Business Analytics
  • 4.3 Probability Distributions

  • Binomial distribution
  • Poisson distribution
  • Normal distribution
  • 5.1 Business domains

  • Finance
  • Marketing
  • Retail
  • Supply Chain
  • 5.2 Understanding the business problem and formulating hypotheses

    5.3 Exploratory data analysis

    5.4 Data storytelling: Narrate stories in a memorable way

    5.5 Project on deriving business insights and storytelling

    6.1 Linear programming

    6.2 Goal programming

    6.3 Integer programming

    6.4 Mixed integer programming

    6.5 Distribution and network models

    7.1 Introduction to KNIME

    7.2 Working with data in KNIME

    7.3 Loops in KNiME

    7.4 Webscraping in KNIME

    7.5 Hyperparameter optimization in KNIME

    7.6 Hyperparameter optimization for Machine Learning Models using loops in KNIME

    7.7 Feature Selection in KNIME

    8.1 Programming with R

    8.2 Advance Statistics

  • Regression analysis
  • Dimension reduction techniques
  • 8.3 Data Mining

  • Supervised and unsupervised learning
  • Clustering
  • Market Basket Analysis
  • Decision trees
  • Random forest
  • Neural networks
  • 9.1 Multiple linear regression

    9.2 Logistic regression

    9.3 Linear discriminant analysis

    10.1 Introduction to time-series

    10.2 Correlation

    10.3 Forecasting

    10.4 Autoregressive models

    11.1 Handling unstructured data

    11.2 Machine Learning algorithms

    11.3 Bias variance trade-off

    11.4 Handling unbalanced data

    11.5 Boosting

    11.6 Model validation

    12.1 Hyper parameter optimization

    12.2 Advance Machine Learning Libraries – XGBoost

    12.3 Solving Problems on Kaggle

    13.1 Framework to Data Science strategy

    13.2 Mapping Data Science with data architecture strategy

    13.3 Executing Data Science strategy

    14.1 Marketing & retail analytics

    14.2 Social analytics

    14.3 Logistics & supply chain

    14.4 Financial analytics

    15.1 Introduction to Power BI

    15.2 Data Extraction

    15.3 Data Transformation – Shaping & Combining Data

    15.4 Data Modelling & DAX

    15.5 Data Visualisation with analytics

    15.6 Power BI Service (Cloud), Q&A, and Data Insights

    15.7 Power BI Settings, Administration & Direct Connectivity

    15.8 Embedded Power BI with API & Power BI

    15.9 Power BI Advance & Power BI Premium

    In the Data Science & Business Analytics Capstone project, you will use all the knowledge and skills you have acquired throughout this advanced certification program and get real world Industry project exposure.


    Oops! For this course, there are currently no public schedules available. Clicking on "Notify Me" will allow you to express your interest.

    For dates, times, and location customization of this course, get in touch with us.

    You can also speak with a learning consultant by calling 800-961-0337.

    Data Analytics Certification

    For professionals looking to land the greatest jobs in the finest firms, our data analytics training was developed by specialists from major MNCs. Additionally, this online course on data analytics features current projects and case studies that are particularly useful in the business world.

    The Data Analytics Certification from Microtek Learning will be awarded to you. Additionally, you will be capable of passing the following certifications:

    • SQL Certification
    • Power BI Certification

    Data Analytics Training FAQ

    In order to assist you in developing your career, our online Data Analytics program was developed by experts in that area. The Data Analytics courses offered by Microtek Learning are ideal if you don't want to spend a lot of time learning the specifics of programming or coding required to become a Data Analyst.

    The following are included in the online data analytics training:

  • You will engage in practical tasks.
  • You will work on initiatives that are highly applicable to the business sector and meet industry standards.
  • At prestigious MNCs, you can apply for the best data scientist and analyst roles.
  • The course and its materials will be accessible to you forever, including lifetime upgrades and round-the-clock support.
  • Data analysis is the practice of cleansing, transforming, and reporting data in order to produce useful information that can support business decisions.

    The tools used for data analysis substantially aid in the activities of data processing, modification, analysis, and pattern and trend discovery. Top tools for data analysis include:

  • R programming
  • Tableau Public
  • QlikView
  • RapidMiner
  • Excel
  • Apache Spark
  • Splunk
  • SAS
  • Data analytics is the act of identifying, analyzing, visualizing, and reporting data trends that might influence company strategy, choices, and results.

    Data Analysis: The more comprehensive area of Data Analytics includes data analysis as a subset. Data analysis is a series of particular procedures that are used to extract meaningful information from a single, already prepared piece of data. These procedures include data cleansing, modeling, transformation, and questioning.

    Data analysts are the experts who draw conclusions from the data that are worthwhile. They are able to generate and deliver quantitative findings to technical and non-technical teams, clients, and stakeholders because they possess both the technical knowledge and the communication abilities to do so.

    Today, a career in data analytics is not just wise, but also one of the most sought-after ones. By finishing this program in Data Analytics, you can find positions in this field across a wide number of sectors and businesses worldwide.

    The Bureau of Labor Statistics predicts that by 2026, the growth rate for specialists in data analytics will soar by 23%.

    You need to meet the following requirements to become a data analyst:

  • A Bachelor's degree is required for entry-level positions.
  • You need a Master's degree to be considered for positions at a higher level.
  • You should hold a degree in a related subject, such as computer science, statistics, or mathematics.
  • If you want to become a data analyst, you should be able to:

  • Obtain a bachelor's or master's degree in statistics, computer science, or another IT-related field if you wish to work as a data analyst.
  • Discover the skills required to work as a data analyst.
  • Become knowledgeable about data analytics
  • Think about obtaining a certification from a reputable organization.
  • With the assistance of Microtek Learning’s Data Analytics course, you can acquire all the required skills, gain practical experience, and obtain a certification.
  • It can undoubtedly be advantageous to hold a college degree in mathematics, probability, or computer science. The major prerequisite for becoming a data analyst is having relevant expertise in the field. So, while having a degree can be very helpful, it is still not necessary.

    Self-paced instruction is an option provided by Microtek Learning for those who prefer it. The training also comes with perks like lifetime access to the learning modules on the LMS, live sessions with instructors, round-the-clock assistance, and email-based query resolution. Additionally, you will receive the most recent edition of the course materials at no extra charge.

    Compared to online instructor-led training, Microtek Learning’s self-paced instruction costs 75% less. If you run into any difficulties while learning, our staff is always available to set up a virtual live session with the instructors.

    The student must finish the course and submit all projects and assignments in order to be included in the placement pool. After that, in order to enter the placement pool, have access to our employment portal, and participate in career coaching sessions, he or she must pass the PRT (Placement Readiness Test).

    You can sign up for either the self-paced training or the instructor-led online course at Microtek Learning. To help firms upskill their workers, we also provide corporate training. All of our instructors have at least 12 years of experience as consultants in their respective industries, making them all subject matter experts in those fields. Check out the sample videos to see how good our trainers are.

    You can raise a ticket at any moment with the dedicated support team at Microtek Learning, which offers round-the-clock query solutions. Any questions you may have can be sent to us via email. If your query is not addressed via email, we can also arrange individual appointments with our support team.

    Microtek Learning includes the most recent, pertinent, and valuable real-world projects in the training curriculum. You can use what you've learned in a real-world business situation in this way.

    Every course has a range of assignments that assess your learning, skills, and experience while preparing you for the workplace.

    You will work on highly intriguing projects in the fields of high technology, e-commerce, sales, networking, marketing, banking, insurance, etc. Your talents will be equivalent to six months of rigorous industry experience once you have successfully completed the tasks.

    All students who complete the training successfully receive active placement support from Microtek Learning. For this, we have exclusive collaborations with more than 80 leading MNCs worldwide. You can be employed in amazing companies like Sony, TCS, Ericsson, Standard Chartered, Mu Sigma, Cognizant, and Cisco, among others excellent companies, in this way. In addition, we assist you with resume writing and interview preparation.

    By just paying the additional cost, you can move from self-paced instruction to online instructor-led training. You can enroll in the very next batch after receiving proper notification.

    Apparently not. Our job placement aid program strives to help you land your perfect job. You can have the opportunity to search through a variety of competitive job openings in the workplace and choose a position that matches your credentials and pays well. When choosing whom to hire, the recruiter will always take into account both your performance in the interview and their demands.

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