This Data Analyst course, delivered by Simplilearn in collaboration with IBM, accelerates your career as an experienced Data Analyst by providing you with world-class training and skills in data analytics.
This Data Analyst course offers expert-led training with hands-on exposure for you to master high-level data analytics tools and technologies. You will gain experience working with various data analytics concepts such as working with SQL databases, R and Python, descriptive and inferential statistics, hypothesis testing, regression analysis, forecasting, creating data visualisations, apply statistics and predictive analytics in a real-world business environment. Transform your career in the field of data analytics by deep diving into all angles of data interpretation and gain a competitive edge in your field.
What you will learn
By the end of this Data Analyst course, you will:
- Understand significant statistical concepts including measures of central tendency, dispersion, correlation, and regression
- Master SQL concepts such as Universal Query Tool and SQL command
- Write your first Python program by implementing concepts of variables, strings, functions, loops, and conditions
- Understand the nuances of lists, sets, dictionaries, conditions and branching, objects and classes in Python
- Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas
- Learn how to interpret and apply data in Python using multi-dimensional arrays, manipulating data and execute machine learning in various software such as NumPy, Pandas, SciPy library and Scikit-Learn
- Gain insights into several data visualisation libraries in Python; including Matplotlib, Seaborn, and Folium
- Gain an in-depth understanding of the basics of R, and learn how to write your own R scripts
- Master R programming and understand how various statements are executed in R
- Understand and use linear and non-linear regression models and classification techniques for data analysis
- Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
- Gain a foundational understanding of business analytics using Excel, Microsoft Analytics and visualisation tools such as Power BI
- Gain deep knowledge in the concepts of Tableau Desktop 10, and become proficient in Tableau statistics and building interactive dashboards
- Become an expert in fundamental visualisation techniques such as heat map, treemap, waterfall, Pareto, Gantt chart, and market basket analysis
Interpersonal skills you will learn along the way:
- Analytical thinking
- Communication skills
- Data-driven decision making
- Critical thinking skills