TimePlease keep time because there will be a lot to cover
Certified Business Intelligence Data Analyst
Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake big data initiatives can be even harder. Not surprisingly, that challenge is reflected in the rising demand for big data skills and certifications.
If you’re looking for a way to get an edge, big data certification is a great option. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. The number of big data certs is expanding rapidly. Here, you’ll not only get to learn the major Big Data technologies (Hadoop, Spark, Sqoop, Flume and No SQL databases such as MongoDB and HBase) but also analyze Big Data through Data Science in Python, R and doing Statistics, Exploratory Data Analysis, Machine Learning & Tableau.
Where: Institute of Forensics and ICT Security located on 4th floor Ntinda complex, Plot 33, Ntinda road (Opp. St. Luke Church).
Why: If you don’t understand how black hat hackers could get into your systems, you’re going to have a hard time securing them. Learning how to hack can help you implement the strongest possible security practices.
Fee: US$ 1350 per personFees breakdown
Administrative Fees: $50.00
Exam Revision Fees: $300.00
Associate Membership: $70.00
Lunch and Refreshments: $30.00
Why become a CBIDA
- Join the association of a large of pool of data analysts and share ideas on different topics and decisions
- Industrial leaders are looking to work with the most practically informed data analysts who understand both data and its implication on business decisions.
- For executives, it enables you eliminate the HIPPO (Highest Paid Person’s Opinion) tendencies. With more exposure to data driven decision making.
- The knowledge learnt in this program is transferable to other certifications of similar magnitude yet more practical.
- 8:00 - 8:45
- Arriving and settling in
- This is the allocated time for every on to arrive and find their table. all the tables have names of people that are supposed to sit on them
- 8:50 - 10:00
- First session
- Introduction to Data Analytics for Business
- 10:01 - 11:00
- Breakfast will be served from the counter opposite the the entrance of the Hall
- 11:01 - 13:00
- Second Session
- 13:01 - 14:00
- Lunch will be served from the counter opposite the the entrance of the Hall
- 14:01 - 16:00
- Last Session