Techma Online revolutionizes the learning experience by prioritizing real-world data exploration over classroom theory. With our practical data projects, students not only acquire skills but also gain the edge in showcasing their expertise to prospective clients and employers.
Gain hands-on experience with tools essential for Business Data Analysts. Our training emphasizes real-world applications, preparing participants to navigate global business analytics landscapes. This program ensures readiness for entrepreneurial ventures or roles in multinational corporations.
Acquire practical skills in Data Analytics using Excel & Power BI. Our program focuses on real-world applications, equipping participants to excel in the global business analytics field. This training prepares you for entrepreneurial ventures or positions in multinational corporations.
Data Cleaning
Web Scraping
Data Analysis
Probability & Stats
Machine Learning
SQL Fundamentals
Did you know that data scientists spend most of their time cleaning data? Yes, that’s right. Before you can even get to the analysis and the insights, you need to make sure you find, clean, and organize the data.
Jobs that require data cleaning skills average $169K /yr salary per Salary.com
Leveraging APIs, powerful libraries such as Beautiful Soup, Selenium and requests HTML increase overall efficiency by simplifying how you retrieve data from different websites. This course on using Python for web scraping is ideal for learning to source and parse data. It’s the perfect addition to your other Python skills. You’ll explore queries and API requests while diving into the awesome power of Beautiful Soup and Selenium.
The growing demand in Python skills is largely due to data science.
In our Data Analysis and Visualization path, you’ll develop the skills to read and interpret data to identify patterns and trends and gain valuable insights. This path covers Python programming fundamentals, data cleaning and processing, and visualization — as well as manipulation, and reading and interpreting data. After completing our hands-on guided projects and practice problems, you’ll be able to explore and analyze data using common visualization techniques. You’ll also be able to convey insights and tell a story.
Data analysts average between $68K to $100K per year according to Glassdoor.com
Transform your resume by adding career skills such as probability and statistics. Our Probability and Statistics with Python Skill Path is the perfect course series for developing your skills in collecting and preparing data. This path introduces the basics of statistical analysis using Python, including sampling, working with variables, and understanding frequency distribution tables.
There are estimated to be more than 11 million new data science jobs by 2026
Machine learning enables systems to learn and improve without direct instructions from users. This machine learning introduction path is ideal for building your Python skill set from the ground up.
Machine learning engineer salaries range between 88K-200K p/year per Glassdoor.
Chances are, your company stores its data in some form of relational database (almost all companies do). And whether you use Oracle, Microsoft SQL Server, SQLite, or some other form of SQL-based RDBMS, these systems all “speak” a common language: SQL. Our introduction to SQL Fundamentals skill path is the perfect way to expand your knowledge and explore databases in detail. From the basics of writing queries to advanced topics on summarizing data, this course content will build a strong foundation for future learning.
SQL developers have an average base salary of $87,325 according to Indeed.
