This article is your ultimate guide to learn about Data Analytics Courses in Sri Lanka which offer placement support. After the USA, Sri Lanka comes in second place in the number of job openings in this booming industry.
Before we explore the top data analytics courses in Sri Lanka, let us have a small briefing on data analytics.
“Data is the fuel of the 21st century.” Due to the dynamic nature of current times and global volatility in the wake of geopolitical tensions, all businesses must implement resilient business models. Events like pandemics can disrupt supply chains.
These uncertainties have opened the gates for data analytics to enter different domains. Companies and educational institutions are increasingly hiring Data Wizards to thrive in the competitive world. Many young professionals are switching their careers by learning Data analysis techniques as it is an impressive career growth opportunity.
What Exactly is Data Analytics-
Data Analytics is a branch of science that deals with analyzing raw data to understand trends, draw inferences, or make predictions and informed decisions.
Data holds immense value as it is instrumental in the betterment of products and services. Primarily, Data analysis helps business resolve their challenges and increase productivity. Different techniques dissect data sets into usable and understandable information using various techniques.
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The Data Analysis Process Overview –
The data analytics courses in Sri Lanka prepare students for different stages in the process. The process generally follows the following steps:
Defining the Objective– The very first step in any analysis is defining the question and objectives you want to work on. A Data Analyst must search for the correct questions to reach the root of the issue. The analyst must satisfy the client’s requirements and expectations.
Data Collection – The next step in this process is data collection using all reliable sources. Analysts collect qualitative or quantitative data based on their objectives and needs. Usually, internal (from your organization) or external data (Data collected from sources other than your organization) are collected. Various methods of data collection are surveys, interviews, questionnaires, etc. Later, the data is stored in the database for further analysis.
Data Cleaning – As the name suggests, data cleaning refers to removing errors, inconsistencies, and redundancies from the data. To achieve great results, data needs to be high quality and free of bias. This is indeed a very time-consuming process depending on datasets.
Analyzing the Data – When the data is clean, one can proceed with the actual data analysi. There are several techniques available and the analyst needs to decide which method is most suitable. Some of these techniques include Regression analysis, cluster analysis, and descriptive analysis which are explained in detail in the next part.
Visualizing Data and Drawing Inferences – When data is presented in a visually compelling way, it is easier to understand. In the business world, one might come across stakeholders who are not from a technical background. Data visualization tools help everyone to understand the analysis by incorporating visualizations and graphs. The findings are shared with stakeholders so that they can make crucial, Data-backed decisions to increase their profits.
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Use of Data Analytics in Various Fields –
Many industries are using Data Analysis techniques for better decision-making and to increase revenue. Here are some of the sectors you can work in after completing data analytics courses in Sri Lanka.
Health and Wellness –
Hospitals collect huge amounts of data on diseases, patients, and treatments. If it is properly analyzed, healthcare professionals can understand the effectiveness of treatment, predict future pandemics and assess risks associated with drugs. It can help lower the costs of organizations providing healthcare.
Economy and Finance – In this sector, analyzing Data can help mitigate risks, identify fraudulent activities and decide performance indicators. Further, it can reduce business losses by identifying loss-making factors. There is fierce competition in the Insurance markets. People are looking for insurance providers who will give better coverage. Hence working with available data is quite beneficial.
Banking –
Banks can use Data Analysis to fulfil customer demands and to track recent trends in financial transactions. It is also useful in deciding strategies to tackle financial fraud and misconduct. It can track money laundering activities and increase safety in the banking sector.
Security –
With growing threats like misinformation and cybercrime, it is important to secure the online space. Data analysts can detect malware, viruses and other threats using software and algorithms. By gathering data on internet traffic and user behaviour, organizations can find loopholes in security systems.
Online space can be strengthened against cyber-attacks. Governments can use Data analysis to protect confidential information from rival countries.
Online Business –
The customers are the ultimate drives of the thriving e-commerce industry. Hence, it is essential to understand trends and customer choices. People like to have a pleasant and hassle-free shopping experience if they think of coming back to the same website.
Personalization is the key is customer satisfaction. Therefore, online businesses are increasingly using data analytics to attract, target and retain customers
Manufacturing Industries –
Manufacturing is a time-consuming and tedious process. Manufacturers can detect potential problems in the process and predict the chances of failure of a product. Data Analytics can increase the efficiency of production and ensure great quality.
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Top Data Analysis Techniques –
Regression analysis – Regression analysis involves two types of variables; dependent variables and independent variables. Independent variables influence the dependent variables. In a business model, this technique helps to understand which factors will affect the growth of the business or the success of a marketing campaign. This analysis unravels complicated relationships between different factors and is useful in making predictions.
Content Analysis- This technique is mostly used by researchers, academicians and journalists to decode unstructured data. Qualitative data in the form of text and multimedia is analyzed to understand trends and patterns.
Monte Carlo Method – This is an invention of older times dating back to the Second World War when the conditions were very volatile. This method is used to understand the ‘level of uncertainty’ in the business world. It uses random variables to predict the likely outcomes. It is mostly used to analyze risks in different sectors like the stock market, pricing and sales.
Factor Analysis – This technique is used in fields like psychology and social sciences to simplify complicated data. It calculates the maximum shared variance in the variables.
Cohort Analysis- Cohort means a group of people who share similarities. The common types of cohort analysis are Acquisition cohorts which explain when a particular action was taken and behavioral cohorts which explain why an action was taken.
Career Prospects after completing Data Analytics Courses in Sri Lanka–
- Data analyst
- Business analyst
- Data scientist
- Data Architect
- Logistics analyst
- Data Engineer
- Financial analyst
- Risk analyst
- Quantitative analyst
- Marketing analyst
What Are the Roles of a Data Analyst?
- Collecting and organizing high-quality data from diverse sources.
- Make sure that there are no inconsistencies or errors in the collected data.
- Monitor all processes to find out areas of improvement.
- Engage with different teams and stakeholders to understand the needs of your business.
- Using data visualization techniques to present solutions to the answer.
- Decode the trends in the market and utilize them for business growth.
- Effectively communicating the findings of your analysis with the concerned parties.
If you want to stay relevant and on top of your game, you must check out these Data Analytics Courses in Sri Lanka that offer placement assistance.
Top 10 Data Analytics Courses In Sri Lanka With Placement
1. IIM SKILLS –
If you are looking for one of the best Data Analytics Courses in Sri Lanka, then IIM SKILLS has got you covered. They offer a Data Analytics Master course which is a one-stop shop for learning Data analysis in online mode.
This 6-month course is comprehensive and taught by Industry experts. The course includes assignments, internships, case studies, and projects. IIM SKILLS has tied up with top companies like Accenture, J. P. Morgan, Cognizant, Capgemini and many more to provide placement assistance.
The track record for placement is excellent and they provide lifetime subscriptions for the students. This course is suitable for a diverse group of people from freshers to working professionals. They provide internships with Accenture and TCS.
Course Details:
Name: Data Analytics Course
Duration: 6 Months Of Training + 2 Months Internship (optional)
Fees: 178600.95 Sri Lankan Rupee + Taxes
EMI: Interest Free
Certification: Yes
The Course Structure is as Follows –
| Module | Topics |
| Advance Excel | Introduction to Data Handling |
| Data Visualisation in Excel | |
| Data Analysis and Reporting | |
| Data Manipulation Using Functions | |
| Overview of Dashboards | |
| Create Dashboards in Excel | |
| Visual Base Application | Introduction to VBA |
| How VBA Works with Excel | |
| Key Components of programming language | |
| Communicating with Your Users | |
| Programming Constructs | |
| Objects & Memory Management | |
| Functions & Procedures in VBA | |
| Other Skills | |
| SQL | Basics RDBMS Concepts |
| Utilizing the Object Explorer | |
| Data-Based Objects Creation | |
| SQL Server Integration | |
| SQL Server Reporting Services | |
| Data Manipulation | |
| Other skills | |
| Power BI | Introduction Power BI |
| Data Analysis Expressions | |
| Data Preparation & Modelling | |
| Reports Development | |
| Rows and Columns | |
| Python | Introduction to Basic Statistics |
| Mathematical foundations | |
| Analytics & Data Science | |
| Python Essentials (Core) | |
| Overview of Pandas | |
| Operations with NumPy | |
| Data Analysis using Python | |
| Data Visualization with Python | |
| Cleansing Data with Python | |
| Advanced Visualization Tools | |
| Basic Visualization Tools | |
| Statistical Methods and Hypothesis | |
| Visualizing Geospatial Data | |
| Tableau | Basics of Tableau |
| Data Handling & Summaries | |
| Building Reports/ Map | |
| Table Calculations | |
| Calculated Fields | |
| Data Handling & Summaries | |
| R for Data Science | Data Importing/Exporting |
| Data Manipulation | |
| Data Visualization with R | |
| Data analysis | |
| Using R with Databases | |
| Introduction to Statistics | |
| Testing | |
| Linear Regression | |
| Alteryx | Alteryx |
Other Professional Courses from IIM SKILLS
- Financial Modeling Course
- Digital Marketing Course
- SEO Course
- Technical Writing Course
- GST Course
- Content Writing Course
- Business Accounting And Taxation Course
- CAT Coaching
- Investment Banking Course
Email: info@iimskills.com
Contact number: +91 9580740740
2. 360DigiTMG-
The Data Science course by 360DigiTMG is one of the ideal data analytics courses in Sri Lanka, which offers practical knowledge in the field. This is a beginner-friendly course as all the modules are taught from the basics. Candidates who have graduated in Mathematics, Data science, computer science, statistics and engineering are eligible for this course.
You should have basic computer knowledge along with an understanding of the basic mathematical concept. They have an excellent track record of placements and some of the alumni work at companies like Deloitte, Air Asia, PepsiCo, Hitachi and Accenture.
The Course Covers the Following Contents-
| Python Introduction |
| SQL |
| Data science Preliminaries |
| Power BI |
| Data Mining (unsupervised) |
| Data Mining (Supervised) |
| Forecasting/ Time series |
| Black Box method (ANN, CNN, RNN) |
Duration – 4 months
Mode – Online
3. NIBM-
The National Institute of Business Management (NIBM) is an excellent higher education institute offering many degrees, diplomas and certificate data analytics courses in Sri Lanka. The Advanced Diploma in Data Science is offered at campuses like Columbo, Kirulapone, and KIC.
It is a comprehensive 1-year part-time/Full-time course that is conducted on weekdays and weekends. Students who have completed a 3-year degree and have 1 year of relevant experience in the field are eligible to apply.
The Structure is as Follows –
| Introduction to Programming (R and Python) |
| Mathematical Foundation |
| Statistics 1 |
| SQL Databases for Data Science |
| Data Visualization (Tableau) |
| Data Visualization (Python) |
| NoSQL Databases for Data Science |
| Statistics 2 |
| Machine Learning 1 |
| Machine Learning 2 |
| Independent Research Project |
Duration – 1 year
Mode – Offline
Fees – 305,000 Sri Lankan Rupees (Inclusive of registration fees)
4. Datamites Global Training Institute-
Datamites Global Training Institute is an important training institute that provides training in diverse new-age fields like AI and machine learning. It offers 3 modes of data analytics courses in Sri Lanka; Live virtual, Blended learning and corporate training.
The Data Science course is worthy of investment as it equips learners with thorough knowledge of Data science. The faculty is highly-qualified and experienced and the certification is globally recognized.
It allows students to do 4 months of project training. The faculty helps job-seekers with interview preparation, resumes and job openings. There are three programs
The Structure is as Follows –
| Data Science Foundation |
| Python Foundation |
| Statistics |
| Machine Learning – Associate |
| Machine Learning Expert |
| Advanced-Data Science |
| Database – SQL and MongoDB |
| Version Control With GIT |
| Big data Foundation |
| Certified BI Analyst |
Duration – 7 months (3 months teaching + 4 months Project mentoring)
Mode – Online/ Offline
Fees – 222,280 Sri Lankan Rupees
5. Intellipat-
Intellipat is one of the best training institutes with an excellent track record. The Data Analytics Course is taught by expert faculty from the Indian Institute of Technology and other Industry specialists. The course is open to all Data enthusiasts and professionals like statisticians, Developers and Business Analysts.
It also offers customized training programs to meet the professional needs of learners. The certification is offered in collaboration with IIT- Roorkee which certainly increases its value.
Check Out the Following List of Modules to Find Out More –
| SQL |
| Python |
| Statistics and Probability |
| Machine learning |
| Performance Metrix |
| Time series Forecasting |
| Business Problem-Solving insights and storytelling |
| Data modeling |
| Data Analytics Capstone Project |
| Business Case Studies |
| Elective |
| Microsoft Excel |
| Visualizations using Power BI |
| Job Readiness |
Duration – 7 months
Mode – Online
Fees – 249530.63 Sri Lankan Rupees
6. Simplilearn –
Do you want to pursue a course that is conducted in partnership with American University? Then Simplilearn’s Data Analytics Course is the one for you. Simplilearn has partnered with Purdue University and IBM.
The course has an excellent rating of 4.4 on the Course Report. After successful completion, you get a certificate from Purdue University and IBM, which will make your resume strong.
People from any educational background can sign up for this course including undergraduate or postgraduate students. Additionally, you can participate in Hackathons conducted by IBM.
The Course Covers the Following Modules –
| Business Analytics with Excel |
| SQL |
| Programming Foundation and Python |
| R Programming |
| Data Analytics with R |
| Tableau Training |
| Data Analyst Capstone |
| Electives |
| Power BI |
| Industry Masterclass |
Duration – 8 months
Mode – Online
Fees – 533,671.83 Sri Lankan Rupee
7. University of Moratuwa –
The University of Moratuwa, which is a well-known institute in Sri Lanka, offers a Postgraduate Data Analysis and Pattern Recognition Certificate Course for Graduates. After the completion of the course, you can compute problems and analyze big datasets. The course is equal to 20 credits.
The Structure is as Follows –
| Foundation – Mathematics and Statistics |
| Natural Language Processing |
| Machine Learning |
| Applied Machine Learning |
| Neural Network for Pattern Recognition |
| Rough Set of Pattern Recognition |
| Project |
8. ExcelR –
ExcelR is a global technical training provider in more than 40 countries. The faculty have solid experience and expertise in their respective field. ExcelR offers Data Analyst Training Course which is ideal for freshers as well as professionals who want to switch their careers.
The course focuses on case studies, live training and projects for a clear understanding of the learners. They have dedicated placement cells for a smooth placement process. Most importantly they provide lifetime eLearning Access so that students can refer to it later.
The Structure is as Follows –
| Excel – Basic to Advanced |
| MySQL |
| Tableau |
| Power BI |
| Business Statistics |
| Fundamentals of R programming |
| Fundamentals of Python |
| SAS (Self-Paced) |
| ChatGPT |
Duration – 6 months
Mode – Online
Fees – 160,079.65 Sri Lankan Rupee
9. The Knowledge Academy –
The Knowledge Academy is a globally renowned academy for online training. It conducts an Advanced Data Analytics Course for engineers, Analysts, or professionals who work on databases. Enthusiasts from other academic qualifications can apply as well. It has a great rating of 4.6 on TrustPilot. The faculty is highly skilled.
Curriculum –
| Introduction |
| Introduction to Statistical Analysis |
| Data Wrangling with SQL |
| Presto |
| Feature Engineering |
| MS Excel |
| Cleaning Data with Text Functions |
| Sorting and Filtering |
Duration – 32 hours
Mode – Online/ on site
Fees – 4,395 USD
10. Imperial College of Information-
If you are looking for a short-term Data analytics course in Sri Lanka that you can do on weekends then the Certificate of Data Analytics with Machine Learning is the perfect fit for you.
You need to have an understanding of programming languages like Python. It is suitable for IT students, freshers, entry-level job-seekers or anyone with basic Python knowledge. The faculty provides individual attention so the number of seats is limited to 10. You will get to do hands-on projects to apply your learnings.
The Modules Are as Follows –
| Machine Learning – Introduction |
| Statistics & Probability – Regression |
| Classification |
| Clustering |
| Association Rule Learning |
| Model Selection & Boosting |
| Artificial Neural Network |
Duration – 6 weeks
Mode – Online (Zoom)
Fees – 39,000 Sri Lankan Rupees
What Does the Future Hold? –
Data Analytics is an area that has seen exponential growth in the last few years. In the world of the Internet and technology, a plethora of Data is generated every day. When Internet penetration increases further, the amount of Data generated will rise as well. In the future, AI and automation will be integrated in Data Analysis.
More remote opportunities will be available for Data Analysts. Highly skilled and adaptable individuals can revolutionize this sector. Trends suggest that more people from diverse backgrounds will learn these techniques due to the industry’s needs. The number of institutes that offer data analytics courses in Sri Lanka, is a testament to its popularity.
FAQs
Q. How can I become a data Analyst in Sri Lanka?
The first step is to get the necessary qualifications in the field of data analysis. It is beneficial if you have a degree in engineering, statistics, mathematics or related programs. You need to have an analytical and problem-solving mind. In addition, you need to gain practical experience and build a professional network. You also need to constantly update your knowledge and learn new techniques that come into the market.
Q. Are the Data Analytics courses in Sri Lanka difficult?
If you are a beginner or fresher then you might find the course difficult. However, with hard work and the right coaching, you can be an expert. You need to do practical work and hands-on projects for better understanding.
Q. Which skills do I require to be a Data Analyst?
A Data Analyst needs command over programming languages like R and Python. You need to learn statistical analysis and Data Visualization. In general, this course is great for people who have analytical, logical minds.
Q. Which streams are ideal for studying data analytics courses in Sri Lanka?
Streams like science, technology, mathematics, statistics, Finance, and Marketing are ideal for being a Data Analyst.
Q. How much salary can I expect after completing Data Analytics courses in Sri Lanka?
Salary depends on the years of experience and level of expertise. According to Glassdoor, the average salary of a Data Analyst in Sri Lanka is in the range of 6,667 – 41,667 Sri Lankan Rupees.
Conclusion –
Successful people are the ones who understand the direction in which the world is going and adapt themselves to this change. Now is the perfect time to gain insights into this new field because, in a few years, it might be too saturated.
Young professionals need to get on board if they want to have a fulfilling professional life and massive career growth. Above are different data analytics courses in Sri Lanka to kickstart your career successfully. Sign up for the course of your choice today and get ready to explore a new field. All the best!