Top 12 Short-Term Data Analytics Courses With Placements
Data Analytics is one of the most in-demand and expanding fields gaining popularity in different parts of the world. The core of data analytics is the use of data that helps organizations make informed decisions. Thus, various companies and organizations including businesses need people who have the right knowledge and skills to be able to make wise decisions for them. Therefore, gaining a certification here can help one advance their career and also help businesses to grow. With the paucity of time, people need to find a course that can be completed in a short period with certification and the right skills. Here is the article that covers all the details you need to consider when choosing Short-Term Data Analytics Courses.
Check here for the best Data Analytics Courses in India
Top Short-Term Data Analytics Courses
Below are the Top Short-Term Data Analytics Courses the different institutes provide, which candidates can explore.
1) IIM SKILLS
IIM SKILLS is one of the top-notch ed-tech companies in the world. The institution stays true to its aim of offering world-class expertise and skill acquisition at reasonable pricing.
They have a great range of skill development, finance, and technical courses.
Their phenomenal Data Analytics course is one of the most preferred by students which provides an up-to-date curriculum, student-centric pedagogy, leading mentors, round clock support to help you reap the full benefits of the course.
Given below are all the details you want to know about the Data Analytics Course.
Course Name – Data Analytics Master Course
Course Details-
- This 6-month Live Data Analyst Course is with 2 Months of Non-Paid Internship.
- There are 160 Hours of Lectures along with 100+ Hours of Practical Assignments and Hands-On Tool Based Learning
- You will get 7+ Live Projects, 10+ Case Studies, and Master 7+ Tools
- With 100% Assured Internship and Job Interview Guarantee
Course Details – Fees INR 49990 Rs. + 18% taxes
Also Read: IIM SKILLS Data Analytics Course Review
Course Modules:
Module 1: Basic and Advanced Excel
Introduction to Data Handling
Data Manipulation Using Functions
Data Analysis and Reporting
Data Visualization in Excel
Overview of Dashboards
Module 2: Visual Basic Application
Introducing VBA
How VBA Works with Excel
Key Components of Programming Language
Programming Constructs in VBA
Functions & Procedures in VBA
Objects & Memory Management in VBA
Error Handling
Controlling the Accessibility of Your Code
Communicating with Your Users
Module 3: SQL
Basics RDBMS Concepts
Utilizing the Object Explorer
Data Based Objects Creation (DDL Commands)
Data Manipulation (DML Commands)
Accessing Data from Multiple Tables Using SELECT
Optimizing Your Work
Module 3.1: SQL Server Reporting Services
Basics of SSRS
Creating Parameters
Understanding Visualization
Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
Understanding the Basics of SSIS
Understanding Packages
Creating Packages to Integrate
Creating Project Using SSIS
Module 4: Power BI
Introduction
Data Preparation and Modeling
Data Analysis Expressions (DAX)
Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
Introduction to Basic Statistics
Introduction to Mathematical Foundations
Introduction to Analytics & Data Science
Python Essentials (Core)
Operations with NumPy (Numerical Python)
Overview of Pandas
Cleansing Data with Python
Data Analysis Using Python
Data Visualization with Python
Statistical Methods & Hypothesis Testing
Module 6: Tableau
Getting Started
Data Handling & Summaries
Reports Development (Visuals in Tableau)
Module 7: R For Data Science
Data Importing/Exporting
Data Manipulation
Data Analysis
Using R with Databases
Data Visualization with R
Introduction to Statistics
Linear Regression: Solving Regression Problems
Module 8: Alteryx
Outline of the Alteryx Course and most important Fundamental Concepts
Use of Select Tool to Rename Fields, Change of Data Type
Comprehending the User Environment and Alteryx Settings
Data Filtering /Data Processing
Blending or Joining Data from Different Sources
Cleansing Data
Impute Values
Random Sample
Tools Knowlege You Gain-
Excel
Python
Power BI
Tableau
SQL
Alteryx
R
Contact Details For More Information:
+919580740740, info@iimskills.com
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2) Udemy
Udemy offers a wide range of short-term data analytics courses to prepare candidates for increasing competition in the market. The list of the courses is given below-
Course Name – Comprehensive Data Analytics Short-Term Course with Python and Pandas
It is one of the most well-crafted Pandas courses available on Udemy which can be an excellent choice for Beginners Python Developers and also for people who are looking to gain knowledge of one of the most popular Python libraries.
The Instructor of the course came up with simple, short crash courses into these technologies as he found the longer courses too drawn out & you often lose interest as you go through them. The idea is to keep it short, sharp, and easy to understand.
All you need is a Basic understanding of Python which you will learn from Udemy’s free Python course.
Here you’ll learn-
Perform data analysis with the Pandas library
Know about data frames and how to conduct data analysis in Python
Comprehend how to handle missing values in your data
Learn how to handle, manage & clean up messy data
Course Includes-
1-hour on-demand video
1 article
2 downloadable resources
Access on both mobile and TV
Full lifetime access
Certificate of Completion
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3) Coursera
Coursera collaborates with top universities and institutions to provide individuals and students worldwide with flexible, affordable, job-relevant short-term data analytics courses along with certifications.
They provide various learning opportunities, including hands-on live projects, job-ready credentials, and other degree programs. You can learn about all their programs on their official website.
Course Name- Comprehensive Data Analytics Short-Term Courses
Coursera offers a one-week crash course covering the influence of statistics, software engineering, and machine learning on data science and big data, essential tools used as well as important data science vocabulary. Here participants will also learn how to forecast the success of a data science project.
So Anyone interested in learning more about data science, especially those who may someday need to oversee data scientists, should enroll in the advanced Short-Term Data Analytics Courses.
Here you’ll learn-
- To describe the function of big data and data science in multiple contexts
- How exactly machine learning, statistics, and software engineering are used in this field.
- To outline the project structure of data science and data analytics
- To recognize the terminologies, vocabularies, and essential tools used by data scientists and data analysts
- How can you tell the difference between an effective and ineffective data science and data analytics project
- The roles and responsibilities of a manager of data science and analytics
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4) Simplilearn
One of the well-known online learning platforms, Simplilearn offers a great variety of courses and certifications in several fields such as Data Science, Data Analytics, also machine learning, artificial intelligence, and many others courses.
Its short-term data analytics courses are ones you should check out if you want to gain knowledge in this field.
Course Name- Introducing Comprehensive Short-Term Data Analytics Courses for Dummies
This data analytics is designed for beginners to offer a solid foundation for working with various types of data, data visualization for decision-making, and applying data analytics in a range of industries. After gaining knowledge about Data Science and Data Analytics you will ultimately be in a position to make better business decisions.
Skills you will master-
Forms of data analytics
Frequency distributing plots
Swarm plots
Data science techniques
Data visualizing
Trends in big data analytics
Analytics adopting frameworks
Course Curriculum-
Data Analytics Establishment
Lesson 1 – Course Establishment
Course Establishment
Lesson 2 – Data Analytics Summary
2.01 Establishment
2.02 Data Analytics – Significance
2.03 Digital Analytics – Influence on Accountancy
2.04 Data Analytics Summary
2.05 Forms of Data Analytics
2.06 Descriptive Analytics
2.07 Diagnostic Analytics
2.08 Predictive Analytics
2.09 Prescriptive Analytics
2.10 Data Analytics – Amazon Instance
2.11 Data Analytics Advantages for Decision-Making
2.12 Data Analytics Advantages – Cost Minimization
2.13 Data Analytics Advantages – Amazon Instance
2.14 Data Analytics – More Advantages
2.15 Primary results
Lesson 3 – Handle Various Forms of Data
Establishment
Phraseologies in Data Analytics – First part
Phraseologies in Data Analytics – Second part
Forms of Data
Quantitative and Qualitative Data
Data degrees of calculation
Normal Circulation of Data
Statistical criterion
3.09 Primary results
Lesson 4 – Using Data Visualizing to Improve Decision-Making
4.1 Establishment
4.2 Data Visualizing
4.3 Comprehending Data Visualizing
4.4 Majorly Employed Visualizations
4.5 Frequency Circulating Plot
4.6 Swarm Plot
4.7 Significance of Data Visualizing
4.8 Data Visualizing Tools – First Part
4.9 Data Visualizing Tools – Second Part
4.10 Libraries and Languages in Data Visualizing
4.11 Dashboard-Oriented Visualizing
4.12 Visualizing and BI Trends
4.13 BI Software Issues
4.14 Primary Results
Lesson 5 – Data Analytics, Machine Learning & Data Science
5.01 Establishment
5.02 The Data Analytics and Data Science Domain
5.03 Overlaps -Data Analytics, Machine Learning, and Data Science
5.04 Data Science Delineated
5.05 Business and Data Science Strategy
5.06 Successful Organizations Employing Data Science
5.7 Travel Industry
5.8 Retail
5.09 Crime and E-commerce Agencies
5.10 Analytical Platforms Across Industries
5.11 Key Outcomes
Lesson 6 – Data Science Process
6.01 Establishment
6.02 Data Science Process
6.03 From Business Comprehending to Analytic Procedure
6.04 From Demands to Acquiring
6.05 From Comprehending to Preparing
6.06 From Modeling to Assessment
6.07 From Placement to Reviews
6.08 Primary results
Lesson 7 – Data Analytics in Diverse Sectors
7.01 Establishment
7.02 Analytics for Services and Products
7.03 How Analytics is used by Google
7.4 How Analytics is used by LinkedIn
7.05 How Analytics is utilized by Amazon
7.6 Netflix – Utilizing Analytics to Propel Engagement
7.7 Netflix – Utilizing Analytics to Propel Success
7.08 Entertainment and Media Industry
7.09 Education Industry
7.10 Healthcare Industry
7.11 Government
7.12 Weather Prediction
7.13 Primary Results
Lesson 8 – Analytics New Trends and Frameworks
8.1 Establishment
8.2 Case Study – EY
8.3 Framework of Customer Analytics
8.4 Data Comprehension
8.5 Data Preparing
8.6 Modeling
8.7 Model Handling
8.8 Data Analytics Latest Trends
8.9 Graph of Analytics
8.10 Automated Machine Learning
8.11 Open Source AI
8.12 Primary Results
This Short Term Course Includes-
- 3 Hours Of self-paced video lessons
- Certificate of Completion awarded after completing the course
- 90 Days of Access
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5) Datalab
Datalab offers a range of self-paced, online learning courses through their online learning platform, and in partnership with top international organizations.
You will also get transferable skills to help you progress in your career, enhance your data literacy and knowledge, and learn how data can help your organization become more innovative, effective, and profitable.
You can check a variety of short-term data analytics courses here. One of them is given below-
Course Name- Intensive Short-Term Data Analytics Courses
This is an intensive three-day offered by Datalab crash course that immerses you in the world of data analytics. You will get practical, hands-on experience, working with data from your organization.
The course focuses on analytical tools and it will train you enough with the foundational knowledge so that you can handle data-related challenges with confidence. So what are you waiting for?
Course Objective: –
Get inspiration from your own work and performance
With the help of data, you will recognize the opportunity and formulate a plan
You can learn how to work with data in data analytics toolings
Visualize your narrative to make a lasting influence
There is also a general structure of the three-day course
You will Gain-
Tools – MS Excel
Edit and Format Data
Learn new Excel operatives and Increase your productivity
Build simple dashboards or visualizations
SQL (database language)
Store Data Within Databases
Format and edit data
Link various data sources
Tableau
Data exploring
Visualizing
Create and share dashboards
Other Skills
Approach data analytics critically and analytically • Model Classification and plan project model for capturing, classifying, & implementing business cases
- The data analytics framework is designed to assist a data analytics perspective
- A detailed summary of the procedures that are put to utilize and those that are on the rise
Course Program – Day 1
Morning – Explaining data analytics and its processes, data analytics abilities and self-dataset
Afternoon – Data standard, Excel practice exercises, Datalab Motivation, and effect changes
Course Program – Day 2
Morning – Data analytics arrangement, databases & SQL, SQL practice exercises, and Datalab motivation
Afternoon – Data-propelled manner of working, Tableau demonstration, and practice exercises of Tableau
Course Program – Day 3
Morning – Web Scraping, Artificial Intelligence & Machine Learning, Datalab motivation, and coming up with ideas for business cases
Afternoon – Tableau Utilization, deal with your business case and data set
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6) Great Learning
Great Learning is an online education platform that provides a variety of courses and specialized programs in different areas to provide in-depth knowledge and skills to the participants. If you are looking for short-term data analytics courses then this platform can be the best option.
Great Learning
Course Name – Comprehensive Short-Term Data Analytics Course
This seven-hour live course will teach students all the concepts related to Statistics and Python before moving on to Machine Learning.
You will also get assistance from the instructor also will train you in all aspects of data analytics like Python, Machine Learning, and Statistics and also prepare you well with the interview questions for the job.
What You Will Learn-
- Establishment of a program
- List
- Tuple
- Dictionary
- Set
- Exception Managing
Advantage of the Course-
Live Online Engaging Classes
Proper organized classes and schedule
Get access to video recordings of missed lessons and lectures
Course Syllabus-
- Introduction
- Python Foundations – Data Organization & Exception Management
- Data Analytics Utilizing Python – Pandas along with NumPy
- Probability and Statistics
- Exploratory Data Analytics
- Machine Learning Introduction & its Algorithms
- Success Metrics
7) Cloudera
Cloudera is a company that focuses on big data and analytics solutions. Here you will get different kinds of software tools and services to help organizations manage the data, process it, and analyze large volumes of data at different stages. Here is one of its popular short-term data analytics courses for professionals.
Course Name- Analyzing with Cloudera Data Warehouse
This four-day Analyzing with Data Warehouse course will educate you on how to apply traditional data analytics and business intelligence skills to big data. Here, You will learn about the tools that data professionals need to access, manipulate, transform, and analyze complex data sets using SQL and familiar scripting languages.
The Course is designed for – Professionals like data analysts, business intelligence specialists, developers, system architects, and database administrators.
Course Duration: Four days
Course Curriculum-
Foundations for Big Data Analytics
Introduction to Apache Hive and Impala
Querying with Apache Hive and Impala
Common Operators and Built-In Functions
Analyzing Text
Apache Hive Optimization
Apache Impala Optimization
Extending Hive and Impala
Data Management
Data Storage and Performance
Working with Multiple Datasets
Analytic Functions and Windowing
Complex Data
Choosing the Best Tool for the Job
CDP Public Cloud Data Warehouse
Appendix: Apache Kudu
All this with instructor-led discussion and interactive, hands-on exercises, candidates will able to navigate the ecosystem properly.
8) AEM
Amazon is the most popular multinational technology and e-commerce company. But do you know it also provides short-term data analytics courses?
Here is an AWS-accredited course that provides you with a comprehensive knowledge of Data Analytics.
Course Name – Amazon Web Services Certification for Advanced Short-Term Data Analytics Courses
This AWS course specifically looks who want to advance their careers and also those who hold some form of experience in this field. AWS looks to have expertise in working with AWS services and also who can define it.
It gives an in-depth knowledge of designing, building, securing, and maintaining analytics solutions using AWS services.
As there is a shortage of experienced data analytics specialists, the course is a great chance for professionals who looking for advanced career opportunities.
Certification for Learning Field
The Professional Abilities and Skills you will learn: –
Stream big data with the help of AWS Kinesis and store with the help of simple and basic storage Service (S3B), Move from small to big data with the help of a (DMS), Lake formation, AWS Glue, Glue DataBrew, Glue Studio, and many more
Here is a Training Details of the Three-month AWS Accredited Data Analytics Short-Term Courses
- Section 1: Gathering
- Section 2: Storing
- Section 3: Processing Data
- Section 4: Analysis of Data
- Section 5: Data Visualizing
- Section 6: Data Protection
- Section 7: Extra project and labs
AEM Provides the Following: –
100 % practical Lab
With 30 hours of live online trainer-led coaching and Project assistance
38 plus popular skills of 2022
Capstone Assignment with current abilities and skills
CV or Resume designing and preparing under the supervision of your mentor
Job searching and interview preparation through AEM’s portal
9) Edvancer
Edvancer is the platform that is designed and opened by the IIT & IIM Alumni. The motive of the institute is to provide the best education possibilities by providing high-quality and engaging content. The Institute provides an interactive atmosphere with live examples.
Course Name – Advanced Certification in Data Analytics-IIT Kanpur.
Course Modules – Predictive Analysis, Data Visualization, and Data analysis with tools like R, Tableau, and SQL.
The Program is delivered by the experts of IIT Kanpur and other Industry experts of Edvancer.
Also, you will get all-time access to the online course content post-completion of the course, assignments & industry projects, 24×7 lifetime access to online videos and content, an industry-recognized certificate from Edvancer with full job assistance, etc.
The features here will make you job-ready, practical content, and 100% placement assistance with proper career assistance.
Course Duration – 180 hours.
Eligibility –
Highly suitable for non-tech background also.
Course Fees- 69990 INR (Live online) and 44990 INR (Self-paced).
10) BrainStation
BrainStation is an education technology company that provides a variety of digital skills training programs and courses in different fields. Here you can enroll in its Data Analytics courses and gain valuable skills.
Course Name- Data Analytics Certificate
This is one of the less time-consuming courses that you can on the list, lasting only ten weeks part-time—ideal if you have less time and want to gain more. When you complete BrainStation’s Data Analytics courses, you’ll graduate with a polished Data Analyst portfolio of real-world data projects and will eventually land your dream job.
Duration: 10 weeks part-time
You will get-
- Instructor-led with Live Online Courses From the Comfort of Your Home
- Interactive, Project-Based Learning
- Community Beyond the Classroom
11) Imarticus Learning
Imarticus Learning is an Indian professional education institute that offers several types of industry-oriented training programs in collaboration with leading global organizations with certifications.
You will be provided certificates in machine learning, data analytics, and data science. Their short-term data analytics courses are worth enrolling in. So here is one.
Course Name- Advanced Short-Term Data Analytics Courses for Beginners
This five-month program offers you the opportunity to learn and explore data science and data mining tools, data analytics, and understand machine learning. You will be prepared with skills to face actual world challenges and also be able to predict business performance for your organization.
This curriculum is designed by renowned IIT faculty members. Participants will be trained with Python-based machine learning and data mining tools after which participants will be skilled enough to make wise decisions for their organizations.
Course Curriculum-
Programming of Python
Presenting Python
Objects of Python and list understanding
Functions of lambda and end-users
Numpy
Pandas
Manipulation of Data Frames
Data Visualization with the help of Python
Exploratory Data Analysis
Using statistics for Data Analytics and Data Science
Establishing statistics
Probability Thesis
Probability Circulations
Thesis Testing
Statistical Testing
Using Python to learn about Machine Learning
Establishing Machine Learning
Linear Regressions
Optimizing
Logistic Regressions
Decision Trees
Random Forests
PCA
K-Means Clustering
Time Series
Text Analytics
Neural Networks
SQL
Presenting SQL
Cluster Functions
Date Roles
Joins
Sub-queries
Data Visualisation with the help of Tableau
Presenting Tableau
Data Relation
Tableau Interface and Fundamental Chart Forms
Dealing with Metadata
Visual Analytics
The process of Mapping
Dashboarding and narratives
Data Science and Data Analytics Case Study
Career Services
Resume/CV and profile designing with building
Interview Preparation
Capstone Assignment
Tools and Languages Taught:-
Python, Tableau, NumPy, and SQL
12) ExcelR
Excel R offers numerous kinds of Data science and short-term data analytics courses and covers them comprehensively. It provides an Industry-Based Course Curriculum and value Adds: Python Programming, Fundamentals of R, Business Statistics, SAS and ChatGPT, Lifetime eLearning Access, etc.
One of its popular data analytics is given below.
Short-Term
Course Name – Advanced Short-Term Data Science and Data Analytics Courses Training
This six-month training program covers every aspect of the data science lifecycle, including data collection, cleaning, exploration, transformation, mining, modeling, visualization, and solution deployment, and prepares you with all the relevant tools and skills needed to secure your dream job.
Tools it covers include predictive analytics, statistical analysis, Hadoop, R Studio, Spark, Tableau, and programming languages such as R and Python and many more.
Course Curriculum
Module 1 – Data Science Assignment Lifecycle
Module 2 – Presenting Fundamental Statistics with the aid of R and Python
Module 3 – Hypothesis and Probability Testing
Module 4 – First part – Exploratory Data Analysis
Module 5 – Linear Regressions
Module 6 – Logistic Regressions
Module – 7 Deploying
Module 8 – Data Autonomous Clustering Mining
Module 9 – Dimension Minimization Processes
Module 10 – Connection Rules
Module 11 – Advisor System
Module 12 – Introduction to Directed Machine Learning
Module 13 – Decision Trees
Module 14 – Second part – Exploratory Data Analysis
Module 15 – Characteristics Engineering
Module 16 – Model Authentication Processes
Module 17 – Collection Techniques
Module 18 – KNN & Assistance Vector Machines
Module 19 – Normalization Procedures
Module 20 – Neural Networks
Module 21 – Mining of Texts
Module 22 – Processing of Natural Language
Module 23 – Naive Bayes
Module 24 – Predicting
Module 25 – Survival Examination
Module 26 – End-to-end Assignment Explanation and Arrangement
Module 27 – You will be given assignments
Module 28 – You will be given projects
Module 29 – CV or Resume designing preparation & interview assistance
Module 30 – Fundamentals of Spark & Hadoop
Module 31 – Fundamentals of R
Module 32 – Fundamentals of Python
Module 33 – Fundamentals of MYSQL
Module 34 – Fundamentals of Tableau
Module 35 – Fundamentals of Artificial Intelligence
Frequently Asked Questions-
1) Why is Data Analytics Important?
Through Data analytics corporations and businesses can
- gain understanding from their data, make wise business decisions
- identify new trends,
- use data modeling to discover useful information
- uncover valuable information for strategic planning.
Data Analysts are responsible for doing all these tasks.
2) What are the Skills Required for Data Analytics?
You learn will some essential skills like proficiency in programming languages (e.g., Python, R), statistical analysis, data visualization, database querying (e.g., SQL), and critical thinking.
3) Are Data Analytics Certifications Valuable?
Yes, certifications can be valuable as organizations approve your skills, knowledge, and performance to select you. Certifications from reputable organizations are often recognized by employers and they are the ones chosen.
4) Is Previous Experience in Data Analytics Required to Enroll in Short-Term Data Analytics Courses?
Most of the Short-Term Data Analytics Courses cater to beginners and assume minimal prior experience. Introductory courses are designed to provide a foundation and clear the basics for those new to data analytics.
Conclusion
Due to the lack of time, numerous students and professionals are opting for short-term data analytics courses, so if you are one of them then you should definitely check out all these courses. Presently Data Analytics is a booming industry and it will be responsible for creating several jobs in fields like IT, Retail, Banking, Pharma, Hospitality, Healthcare, FMCG, Media, Sports, etc. Having a certification in these courses will be beneficial in the long run.