What is Datamites Certified Data Analyst Certification Course?
Datamites Team
Certified Data Analyst (CDA) is a premier data analytics certification recognized globally and accredited by IABAC. DataMites, a platinum partner of IABAC, offers a 4-month Certified Data Analyst Course tailored to equip you with essential skills for the data analytics industry. Our program stands out with its unique no-coding approach, coupled with hands-on data analytics internships and live projects.
In the Certified Data Analyst Training, you'll delve into a comprehensive curriculum covering 10 courses essential for job-oriented data analyst training. From data visualization to statistical analysis, database management, and machine learning, this program equips you with the skills needed to excel in the field of data analysis.
- Data Analysis Foundation
- Statistics Essentials
- Data Analysis Associate
- Advanced Data Analytics
- Predictive Analytics with ML
- DataBase: SQL And MongoDB
- Version Control with Git
- Big Data Foundation
- Python Foundation
- Certified BI Analyst
Let's delve deeper into the Certified Data Analyst Program:
1. Data Analysis Foundation - Understand how to handle and interpret data effectively, laying the groundwork for more advanced analysis techniques.
What Will Be Covered - Data Analysis Foundation, Classification Of Analytics, Crip-Dm Model, Univariate Data Analysis, Data Analysis With Visual Charts, And Bi-Variate Data Analysis.
Prerequisites - Ms Excel Essentials
Learning Hours - 20 Hours
2. Statistics Essentials - Learn essential statistical concepts to extract meaningful insights and make informed decisions from data with confidence.
What Will Be Covered - Overview Of Statistics, Harnessing Data, Exploratory Data Analysis, Hypothesis Testing, And Correlation And Regression.
Prerequisites - None
Learning Hours - 20 Hours
3. Data Analysis Associate - Elevate skills in interpreting and visualizing data, enabling clear communication of findings to stakeholders.
What Will Be Covered - Machine Learning Introduction, Python Numpy And Pandas Package, Visualization With Python, Ml Algo: Linear Regression, Ml Algo: Knn, Ml Algo: Logistics Regression, Principle Component Analysis (Pca), And Ml Algo: K Means Clustering.
Prerequisites - Ms Excel Essentials
Learning Hours - 20 Hours
4. Advanced Data Analytics - Explore sophisticated analysis techniques to uncover complex patterns and trends within large and intricate datasets.
What Will Be Covered - Data Analytics Foundation, Optimization Models, Predictive Analytics With Regression, And Decision Modeling.
Prerequisites - Ms Excel Essentials
Learning Hours - 40 Hours
5. Predictive Analytics With ML - Utilize machine learning algorithms to predict future outcomes and drive decision-making based on data-driven insights.
What Will Be Covered - Machine Learning Introduction, Ml Algo: Linear Regresssion, Ml Algo: Logistic Regression, Ml Algo: Knn, Ml Algo: K Means Clustering, Ml Algo: Decision Tree, Ml Algo: Support Vector Machine (Svm), Artificial Neural Network (Ann), And Project: Predictive Analytics With Ml.
Prerequisites - None
Learning Hours - 80 Hours
6. Database: SQL And MongoDB - Master querying and managing relational and NoSQL databases, essential for efficient data storage and retrieval in various contexts.
What Will Be Covered - Database Introduction, Sql Basics, Data Types And Constraints, Databases And Tables (Mysql), Sql Joins, Sql Commands And Clauses, And Documenst Db/No-Sql Db.
Prerequisites - None
Learning Hours - 15 Hours
7. Version Control With Git - Learn to efficiently manage code changes, collaborate effectively with teams, and maintain project integrity using Git.
What Will Be Covered - Git Introduction, Git Repository And Github, Commits, Pull, Fetch, And Push, Tagging, Branching, And Merging, Undoing Changes, And Git With Github And Bitbucket.
Prerequisites - None
Learning Hours - 10 Hours
8. Big Data Foundation - Gain expertise in handling and analyzing vast datasets, understanding the principles and technologies behind big data processing.
What Will Be Covered - Big Data Introduction, Hdfs And Map Reduce, Pyspark Foundation, Spark Sql And Hadoop Hive, Machine Learning With Spark Ml, And Kafka And Spark.
Prerequisites - Python Foundation
Learning Hours - 20 Hours
9. Python Foundation - Develop foundational programming skills using Python, enabling data manipulation, task automation, and the creation of data analysis tools.
What Will Be Covered - Python Basics, Python Control Statements, Python Data Structures, Python Functions, Python Numpy Package, And Python Pandas Package.
Prerequisites - None
Learning Hours - 40 Hours
10. Certified BI Analyst - Obtain courses in business intelligence analysis, equipped with skills to transform raw data into actionable insights for strategic decision-making.
What Will Be Covered - Business Intelligence Introduction, Bi With Tableau: Introduction, Tableau: Connecting To Data Source, Tableau: Business Insights, Dashboards, Stories And Pages, And Bi With Power-Bi.
Prerequisites - None
Learning Hours - 15 Hours
The field of data analytics is booming, expected to grow from USD 31.74 billion in 2021 to a whopping USD 346.33 billion by 2030. And with data analysts earning good salaries – INR ₹6,00,000 in India, £36,517 in the UK, and $77,500 in the US – it's a great time to jump into this career.
Refer these articles:
- Mastering Data Analytics in India
- Data Analyst Course Fee in India
- Data Analyst Career Scope in India
If you're looking to join the data analysis game, check out DataMites Certified Data Analyst Training Course. It's designed to teach you everything you need to know in just 6 months, with a curriculum that's updated regularly and covers 220 hours of learning. Don't miss your chance – enroll in DataMites CDA course today!
