Can data analytics be self taught

With the abundance of knowledge and resources available in our hands today, anyone can learn data analytics. Online tutorials, courses, books and practical projects in data analytics teach us a world of techniques in programming. Once we identify the aspect we intend to learn, we need to choose a learning resource, start with the basic fundamentals, learn and practice those skills, engage with forums and finally stay updated on the latest tools.

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1. C A N D A T A A N A L Y T I C S B E S E L F T A U G H T ?
2. I F Y E S , H O W ? A D E T A I L E D G U I D E
3. M A N Y S T U D E N T S A N D P R O F E S S I O N A L S A R E D E S P E R A T E L Y S E A R C H I N G F O R A W A Y T O S A Y Y E S T O “ C A N D A T A A N A L Y T I C S B E S E L F - T A U G H T ? ” . T H E R I S E I N D E M A N D F O R D A T A A N A L Y T I C S I N T H E W O R K E N V I R O N M E N T I S T H E M A I N R E A S O N F O R I N D I V I D U A L S W A N T I N G T O P U R S U E A C A R E E R I N I T . I T I S G R E A T T O I D E N T I F Y T H E S T R E A M S W I T H M O R E J O B P R O S P E C T S . I T I S A F O R M O F S E L F - C A R E A S E N T E R I N G A T R E N D I N G F I E L D W I L L A L L O W Y O U T O E X P L O R E C A R E E R O P P O R T U N I T I E S A N D C O N T I N U E E A R N I N G B R E A D A N D B U T T E R E V E N I F T H E R E I S A R E C E S S I O N . L E T ’ S N O T W A I T A N Y M O R E A N D G E T S T A R T E D W I T H E S S E N T I A L D E T A I L S T H A T M A K E Y O U S A Y Y E S T O C A N D A T A A N A L Y T I C S B E S E L F - T A U G H T ? .
4. B O O K S A R E T H E B E S T M E A N S T O L E A R N A N Y T H I N G A T Y O U R O W N P A C E . T H E R E W O N ’ T B E A N Y R U S H T O C O M P L E T E T H E C H A P T E R S A S Y O U A R E T H E B O S S A N D G E T T O D E C I D E W H E N A N D W H A T T O F I N I S H R E A D I N G . 5 F A M O U S A N D M O S T K N O W L E D G E - W O R T H Y P A P E R S A N D D I G I T A L C O N T E N T O N D A T A A N A L Y T I C S A R E : • D A T A A N A L Y T I C S M A D E A C C E S S I B L E B Y A N I L M A H E S H W A R I • N U M S E N S E ! D A T A S C I E N C E F O R T H E L A Y M A N : N O M A T H A D D E D B Y A N N A L Y N N G A N D K E N N E T H S O O • P Y T H O N F O R E V E R Y B O D Y : E X P L O R I N G D A T A I N P Y T H O N 3 B Y D R . C H A R L E S R U S S E L L S E V E R A N C E • B I G D A T A : A R E V O L U T I O N T H A T W I L L T R A N S F O R M H O W W E L I V E , W O R K , A N D T H I N K B Y K E N N E T H C U K I E R A N D V I K T O R M A Y E R - S C H Ö N B E R G E R • D A T A S C I E N C E F O R B U S I N E S S : W H A T Y O U N E E D T O K N O W A B O U T D A T A M I N I N G A N D D A T A - A N A L Y T I C T H I N K I N G B Y F O S T E R P R O V O S T A N D T O M F A W C E T T
5. M U S T R E A D : • A D V A N T A G E S O F A D A T A A N A L Y T I C S C O U R S E • D A T A A N A L Y T I C S C O U R S E S T R U C T U R E • D A T A A N A L Y T I C S F R A M E W O R K • W H E R E I S D A T A A N A L Y T I C S U S E D • C A R E E R A S A F R E E L A N C E D A T A A N A L Y S T • P U R P O S E O F D A T A A N A L Y T I C S • C A N A C A R E E R I N D A T A A N A L Y T I C S M A K E Y O U R E A C H
6. I I M S K I L L S : I I M S K I L L S I S A N E D U C A T I O N P R O V I D E R T H A T M O S T L Y O F F E R S C O U R S E S V I A A N O N L I N E P L A T F O R M . M A N Y L E A R N E R S C H O O S E I T T O L E A R N S K I L L S A N D K N O W L E D G E A T T H E I R C O N V E N I E N C E . T H E D A T A A N A L Y T I C S P R O G R A M A V A I L A B L E A T I I M S K I L L S I S C A L L E D D A T A A N A L Y T I C S C O U R S E . I T C O V E R S 9 C O R E M O D U L E S ; D A T A A N A L Y T I C S W I T H A D V A N C E E X C E L , V B A , S Q L , P O W E R B I , P Y T H O N , A L T E R Y X , A N D T A B L E A U , T H E R E M A I N I N G M O D U L E I S T H E U S E O F R F O R D A T A S C I E N C E .
7. V I S I T F O R M O R E D E T A I L S